AWS Lambda

Run code without thinking about servers. Pay only for the compute time you consume.

AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running.

With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.

Getting Started with AWS Lambda (3:00)

Benefits

NO SERVERS TO MANAGE

AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda.

CONTINUOUS SCALING

AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.

SUBSECOND METERING

With AWS Lambda, you are charged for every 100ms your code executes and the number of times your code is triggered. You don't pay anything when your code isn't running.

How it works

Use cases

What can you build with AWS Lambda? Learn more about the use cases below:

Data processing

You can use AWS Lambda to execute code in response to triggers such as changes in data, shifts in system state, or actions by users. Lambda can be directly triggered by AWS services such as S3, DynamoDB, Kinesis, SNS, and CloudWatch, or it can be orchestrated into workflows by AWS Step Functions. This allows you to build a variety of real-time serverless data processing systems.

Real-time file processing

You can use Amazon S3 to trigger AWS Lambda to process data immediately after an upload. For example, you can use Lambda to thumbnail images, transcode videos, index files, process logs, validate content, and aggregate and filter data in real-time.

Reference Architecture: Sample Code

The Seattle Times uses AWS Lambda to resize images for viewing on different devices such as desktop computers, tablets, and smartphones. Read the case study »

Real-time stream processing

You can use AWS Lambda and Amazon Kinesis to process real-time streaming data for application activity tracking, transaction order processing, click stream analysis, data cleansing, metrics generation, log filtering, indexing, social media analysis, and IoT device data telemetry and metering.

Reference Architecture: Sample code

Localytics processes billions of data points in real-time, and uses Lambda to process historical and live data stored in S3 or streamed from Kinesis. Read the case study »

Extract, transform, load

You can use AWS Lambda to perform data validation, filtering, sorting, or other transformations for every data change in a DynamoDB table and load the transformed data to another data store.

Zillow uses Lambda and Kinesis to track a subset of mobile metrics in realtime. With Kinesis and Lambda, we were able to develop and deploy a cost effective solution in two weeks.

Backends

You can build serverless backends using AWS Lambda to handle web, mobile, Internet of Things (IoT), and 3rd party API requests.

IoT backends

You can build serverless backends using AWS Lambda to handle web, mobile, Internet of Things (IoT), and 3rd party API requests.

Reference Architecture: Sample code

Mobile backends

You can build backends using AWS Lambda and Amazon API Gateway to authenticate and process API requests. Lambda makes it easy to create rich, personalized app experiences.

Reference Architecture: Sample code

Bustle runs a serverless backend for its Bustle iOS app and websites using AWS Lambda and Amazon API Gateway. Serverless architectures allow Bustle to never have to deal with infrastructure management, so every engineer can focus on building out new features and innovating. Read the case study »

Web applications

By combining AWS Lambda with other AWS services, developers can build powerful web applications that automatically scale up and down and run in a highly available configuration across multiple data centers â with zero administrative effort required for scalability, back-ups or multi-data center redundancy.

Reference Architecture: Sample code

Case studies

The Coca-Cola Company, an American multinational beverage corporation, used AWS Lambda and AWS Step Functions to build a cost-effective serverless solution.

Read the blog »

iRobot, a leading global consumer robot company, is building the next generation of connected devices for the smart home using a serverless architecture.

Benchling, a life science software company, created a technique that researchers use to modify parts of a genome with extreme precision using serverless architecture.

Thomson Reuters uses AWS Lambda to process up to 4,000 events per second for its usage analytics service, and it took five months to deploy into production.

See more case studies »

Get started with AWS Lambda

Sign up for an AWS account

Instantly get access to the AWS Free Tier.

Learn with step-by-step tutorials

Explore and learn with simple tutorials.

Start building with AWS Lambda

Visit the AWS Management Console.

Learn more about AWS Lambda

Visit the features page

Ready to build?

Get started with AWS Lambda

Have more questions?

#####EOF##### Information Security | Amazon.jobs

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#####EOF##### What is Caching and How it Works | AWS

Caching Overview

Caching helps applications perform dramatically faster and cost significantly less at scale

Get Started with Caching

What is Caching?

In computing, a cache is a high-speed data storage layer which stores a subset of data, typically transient in nature, so that future requests for that data are served up faster than is possible by accessing the dataâs primary storage location. Caching allows you to efficiently reuse previously retrieved or computed data.

How does Caching work?

The data in a cache is generally stored in fast access hardware such as RAM (Random-access memory) and may also be used in correlation with a software component. A cache's primary purpose is to increase data retrieval performance by reducing the need to access the underlying slower storage layer.

Trading off capacity for speed, a cache typically stores a subset of data transiently, in contrast to databases whose data is usually complete and durable.

ElastiCache Deep Dive: Best Practices and Usage Patterns

Caching Overview

RAM and In-Memory Engines: Due to the high request rates or IOPS (Input/Output operations per second) supported by RAM and In-Memory engines, caching results in improved data retrieval performance and reduces cost at scale. To support the same scale with traditional databases and disk-based hardware, additional resources would be required. These additional resources drive up cost and still fail to achieve the low latency performance provided by an In-Memory cache.

Applications: Caches can be applied and leveraged throughout various layers of technology including Operating Systems, Networking layers including Content Delivery Networks (CDN) and DNS, web applications, and Databases. You can use caching to significantly reduce latency and improve IOPS for many read-heavy application workloads, such as Q&A portals, gaming, media sharing, and social networking. Cached information can include the results of database queries, computationally intensive calculations, API requests/responses and web artifacts such as HTML, JavaScript, and image files. Compute-intensive workloads that manipulate data sets, such as recommendation engines and high-performance computing simulations also benefit from an In-Memory data layer acting as a cache. In these applications, very large data sets must be accessed in real-time across clusters of machines that can span hundreds of nodes. Due to the speed of the underlying hardware, manipulating this data in a disk-based store is a significant bottleneck for these applications.

Design Patterns: In a distributed computing environment, a dedicated caching layer enables systems and applications to run independently from the cache with their own lifecycles without the risk of affecting the cache. The cache serves as a central layer that can be accessed from disparate systems with its own lifecycle and architectural topology. This is especially relevant in a system where application nodes can be dynamically scaled in and out. If the cache is resident on the same node as the application or systems utilizing it, scaling may affect the integrity of the cache. In addition, when local caches are used, they only benefit the local application consuming the data. In a distributed caching environment, the data can span multiple cache servers and be stored in a central location for the benefit of all the consumers of that data.

Caching Best Practices: When implementing a cache layer, itâs important to understand the validity of the data being cached. A successful cache results in a high hit rate which means the data was present when fetched. A cache miss occurs when the data fetched was not present in the cache. Controls such as TTLs (Time to live) can be applied to expire the data accordingly. Another consideration may be whether or not the cache environment needs to be Highly Available, which can be satisfied by In-Memory engines such as Redis. In some cases, an In-Memory layer can be used as a standalone data storage layer in contrast to caching data from a primary location. In this scenario, itâs important to define an appropriate RTO (Recovery Time Objective--the time it takes to recover from an outage) and RPO (Recovery Point Objective--the last point or transaction captured in the recovery) on the data resident in the In-Memory engine to determine whether or not this is suitable. Design strategies and characteristics of different In-Memory engines can be applied to meet most RTO and RPO requirements.

Layer	Client-Side	DNS	Web	App	Database
Use Case	Accelerate retrieval of web content from websites (browser or device)	Domain to IP Resolution	Accelerate retrieval of web content from web/app servers. Manage Web Sessions (server side)	Accelerate application performance and data access	Reduce latency associated with database query requests
Technologies	HTTP Cache Headers, Browsers	DNS Servers	HTTP Cache Headers, CDNs, Reverse Proxies, Web Accelerators, Key/Value Stores	Key/Value data stores, Local caches	Database buffers, Key/Value data stores
Solutions	Browser Specific	Amazon Route 53	Amazon CloudFront, ElastiCache for Redis, ElastiCache for Memcached, Partner Solutions	Application Frameworks, ElastiCache for Redis, ElastiCache for Memcached, Partner Solutions	ElastiCache for Redis, ElastiCache for Memcached

Caching with Amazon ElastiCache

Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases. Learn how you can implement an effective caching strategy with this technical whitepaper on in-memory caching.

Benefits of Caching

Improve Application Performance

Because memory is orders of magnitude faster than disk (magnetic or SSD), reading data from in-memory cache is extremely fast (sub-millisecond). This significantly faster data access improves the overall performance of the application.

Reduce Database Cost

A single cache instance can provide hundreds of thousands of IOPS (Input/output operations per second), potentially replacing a number of database instances, thus driving the total cost down. This is especially significant if the primary database charges per throughput. In those cases the price savings could be dozens of percentage points.

Reduce the Load on the Backend

By redirecting significant parts of the read load from the backend database to the in-memory layer, caching can reduce the load on your database, and protect it from slower performance under load, or even from crashing at times of spikes.

Predictable Performance

A common challenge in modern applications is dealing with times of spikes in application usage. Examples include social apps during the Super Bowl or election day, eCommerce websites during Black Friday, etc. Increased load on the database results in higher latencies to get data, making the overall application performance unpredictable. By utilizing a high throughput in-memory cache this issue can be mitigated.

Eliminate Database Hotspots

In many applications, it is likely that a small subset of data, such as a celebrity profile or popular product, will be accessed more frequently than the rest. This can result in hot spots in your database and may require overprovisioning of database resources based on the throughput requirements for the most frequently used data. Storing common keys in an in-memory cache mitigates the need to overprovision while providing fast and predictable performance for the most commonly accessed data.

Increase Read Throughput (IOPS)

In addition to lower latency, in-memory systems also offer much higher request rates (IOPS) relative to a comparable disk-based database. A single instance used as a distributed side-cache can serve hundreds of thousands of requests per second.

Use Cases & Industries

Use Cases
Industries

Use Cases
Learn about various caching use cases

Database Caching

The performance, both in speed and throughput that your database provides can be the most impactful factor of your applicationâs overall performance. And despite the fact that many databases today offer relatively good performance, for a lot use cases your applications may require more. Database caching allows you to dramatically increase throughput and lower the data retrieval latency associated with backend databases, which as a result, improves the overall performance of your applications. The cache acts as an adjacent data access layer to your database that your applications can utilize in order to improve performance. A database cache layer can be applied in front of any type of database, including relational and NoSQL databases. Common techniques used to load data into youâre a cache include lazy loading and write-through methods. For more information, click here.

Content Delivery Network (CDN)

When your web traffic is geo-dispersed, itâs not always feasible and certainly not cost effective to replicate your entire infrastructure across the globe. A CDN provides you the ability to utilize its global network of edge locations to deliver a cached copy of web content such as videos, webpages, images and so on to your customers. To reduce response time, the CDN utilizes the nearest edge location to the customer or originating request location in order to reduce the response time. Throughput is dramatically increased given that the web assets are delivered from cache. For dynamic data, many CDNs can be configured to retrieve data from the origin servers.

Amazon CloudFront is a global CDN service that accelerates delivery of your websites, APIs, video content or other web assets. It integrates with other Amazon Web Services products to give developers and businesses an easy way to accelerate content to end users with no minimum usage commitments. To learn more about CDNs, click here.

Domain Name System (DNS) Caching

Every domain request made on the internet essentially queries DNS cache servers in order to resolve the IP address associated with the domain name. DNS caching can occur on many levels including on the OS, via ISPs and DNS servers.

Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service.

Session Management

HTTP sessions contain the user data exchanged between your site users and your web applications such as login information, shopping cart lists, previously viewed items and so on. Critical to providing great user experiences on your website is managing your HTTP sessions effectively by remembering your userâs preferences and providing rich user context. With modern application architectures, utilizing a centralized session management data store is the ideal solution for a number of reasons including providing, consistent user experiences across all web servers, better session durability when your fleet of web servers is elastic and higher availability when session data is replicated across cache servers.

For more information, click here.

Application Programming Interfaces (APIs)

Today, most web applications are built upon APIs. An API generally is a RESTful web service that can be accessed over HTTP and exposes resources that allow the user to interact with the application. When designing an API, itâs important to consider the expected load on the API, the authorization to it, the effects of version changes on the API consumers and most importantly the APIâs ease of use, among other considerations. Itâs not always the case that an API needs to instantiate business logic and/or make a backend requests to a database on every request. Sometimes serving a cached result of the API will deliver the most optimal and cost-effective response. This is especially true when you are able to cache the API response to match the rate of change of the underlying data. Say for example, you exposed a product listing API to your users and your product categories only change once per day. Given that the response to a product category request will be identical throughout the day every time a call to your API is made, it would be sufficient to cache your API response for the day. By caching your API response, you eliminate pressure to your infrastructure including your application servers and databases. You also gain from faster response times and deliver a more performant API.

Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.

Caching for Hybrid Environments

In a hybrid cloud environment, you may have applications that live in the cloud and require frequent access to an on-premises database. There are many network topologies that can by employed to create connectivity between your cloud and on-premises environment including VPN and Direct Connect. And while latency from the VPC to your on-premises data center may be low, it may be optimal to cache your on-premises data in your cloud environment to speed up overall data retrieval performance.

Web Caching

When delivering web content to your viewers, much of the latency involved with retrieving web assets such as images, html documents, video, etc. can be greatly reduced by caching those artifacts and eliminating disk reads and server load. Various web caching techniques can be employed both on the server and on the client side. Server side web caching typically involves utilizing a web proxy which retains web responses from the web servers it sits in front of, effectively reducing their load and latency. Client side web caching can include browser based caching which retains a cached version of the previously visited web content. For more information on Web Caching, click here.

General Cache

Accessing data from memory is orders of magnitude faster than accessing data from disk or SSD, so leveraging data in cache has a lot of advantages. For many use-cases that do not require transactional data support or disk based durability, using an in-memory key-value store as a standalone database is a great way to build highly performant applications. In addition to speed, application benefits from high throughput at a cost-effective price point. Referenceable data such product groupings, category listings, profile information, and so on are great use cases for a general cache. For more information on general cache, click here.

Integrated Cache

An integrated cache is an in-memory layer that automatically caches frequently accessed data from the origin database. Most commonly, the underlying database will utilize the cache to serve the response to the inbound database request given the data is resident in the cache. This dramatically increases the performance of the database by lowering the request latency and reducing CPU and memory utilization on the database engine. An important characteristic of an integrated cache is that the data cached is consistent with the data stored on disk by the database engine.
Industries
Learn about different industries and the various caching use cases

Mobile

Mobile applications are an incredibly fast growing market segment given the rapid consumer device adoption and the decline in use of traditional computer equipment. Whether it be for games, commercial applications, health applications, and so on, virtually every market segment today has a mobile friendly application. From an application development perspective, building mobile apps is very similar to building any other form of application. You have the same areas of concern, your presentation tier, business tier and data tier. While your screen real estate and development tools are different, delivering a great user experience is a shared goal across all applications. With effective caching strategies, your mobile applications can deliver the performance your users expect, scale massively, and reduce your overall cost.

The AWS Mobile Hub is a console that provides an integrated experience for discovering, configuring, and accessing AWS cloud services for building, testing, and monitoring usage of mobile apps.

Internet of Things (IoT)

The Internet of Things is a concept behind gathering and delivering information from a device and the physical world via device sensors to the internet or application consuming the data. The value of IoT is being able to understand the captured data at near real time intervals which ultimately allows the consuming system and applications the ability to respond rapidly to that data. Take for example, a device that transmits its GPS coordinates. Your IoT application could respond by suggesting points of interest relative to the proximity of those coordinates. Furthermore, if you had stored preferences related to the user of the device, you could fine tune those recommendations tailored to that individual. In this particular example, the speed at which the application can respond to the coordinates is critical to achieving a great user experience. Caching can play an important role here, for example, the points of interest along with the geo coordinates could be stored in a key/value store such as Redis to enable fast retrieval. From an application development perspective, you can essentially code your IoT application to respond to any event given there is a programmatic means to do so. Important considerations to be made when building an IoT architecture include the response time involved with analyzing the ingested data, architecting a solution that can scale N number of devices and delivering an architecture that is cost-effective.

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

Further Reading: Managing IoT and Time Series Data with Amazon ElastiCache for Redis

Advertising Technology

Modern Ad Tech applications are particularly demanding in terms of performance. An example of a significant area of growth in AdTech is real-time bidding (RTB), which is the auction-based approach for transacting digital display ads in real time, at the most granular impression level. RTB was the dominant transaction method in 2015, accounting for 74.0 percent of programmatically purchased advertising, or 11 billion dollars in the US (according to eMarketer Analysis). When building a real-time bidding app, a millisecond can be the difference between submitting the bid on time and it becoming irrelevant. This means that getting the bidding information from the database must be extremely fast. Database caching, which can access bidding details in sub milliseconds, is a great solution for achieving that high performance.

Gaming

Interactivity is a cornerstone requirement for almost any modern game. Nothing frustrates players more than a slow or unresponsive game, and those rarely become successful. The requirement on performance is even more demanding for mobile multiplayer games, where an action that any one player takes needs to be shared with others in real time. Caching plays a crucial role in keeping the game smooth by providing sub-millisecond query response for frequently accessed data. It is also helpful to alleviate hot key issues when the same data is queried multiple times, such as âwho are the current top 10 players by score?â

To learn more about developing games on AWS click here.

Media

Media companies often deal with the need to transmit a large amount of static content to their customers with a constantly changing number of readers/viewers. An example is a video streaming service such as Netflix or Amazon Video, which streams a large amount of video content to the viewers. This is a perfect fit for a Content Delivery Network, where data is stored on a globally distributed set of caching servers. Another aspect of media applications is that load tends to be spikey and unpredictable. Imagine a blog on a website that a celebrity just tweeted about, or the website of a Football team during the Super Bowl. Such a large spike of demand to a small subset of content is a challenge to most databases since they are limited in their per-key throughput. Since memory has a much higher throughput than disk, a database cache would resolve the issue by redirecting the reads to the in memory cache.

Ecommerce

Modern eCommerce applications are becoming more sophisticated, offering personalized shopping experience, including real-time recommendations based on a userâs data and shopping history. Those often also include looking at a userâs social network and providing the recommendation based on what her friends liked or purchased. While the amount of data needed to process is increasing, customerâs patience is not. Therefore, keeping the application performing in real-time is not a luxury, but a necessity; a well-executed caching strategy is a critical aspect of the application performance, and could be the difference between an applicationâs success or failure, between making a sale or losing a customer.

Click here for sample eCommerce architecture.

Social Media

Social Media apps have taken the world by storm. Social networks like Facebook, Twitter, Instagram and Snapchat have a vast number of users who consume ever growing amount of content. When a user opens her feed, she expects to see her latest personalized content in near real-time. That is not static content since each user has different friends, images, interests, etc., exacerbating the engineering complexity needs of the underlying platform. Social Media apps are also very prone to spikes in usage around major entertainment, sports, and political events. Such spike resiliency and real-time performance are achieved through multiple layers of caching â including Content Delivery Network for the static content such as background images, session cache for keeping track of a userâs current session data, and database cache for keeping frequently accessed data such as latest news from closest friends and the last few images handy.

Healthcare and Wellness

The healthcare industry is going through a digital revolution, making care both available and accessible to more and more patients around the world. Some applications allow patients to see Doctors for video consultations, and most major providers have apps that allow patients to see their test results and interact with the medical staff. On the wellness side, there is a plethora of applications that range from tracking a userâs specific sensor activity (e.g. FitBit and Jawbone), to comprehensive wellness coaching and data. Given the interactive nature of those apps, the need for fast-performing applications, business, and data tiers must be addressed. With an effective caching strategy you will be able to provide fast performance, reduce the overall infrastructure costs, and scale as your usage grows.

To learn more about building Healthcare apps on AWS click here.

Finance and Financial Technology

The way we consume financial services has evolved dramatically over the recent years. Applications include accessing banking and insurance services, fraud detection, investment services, optimizing capital markets via real-time algorithms, and more. Providing real-time access to a customerâs financial data, allowing him to make transactions such as transferring money, or making payments is challenging. First, similar constraints apply as in other applications where a user wants to interact with the app in near real-time. In addition, financial applications may impose additional requirements such as increased security and fraud detection. An efficient architecture, including multi-layer caching strategy, is critical to achieve the performance expected by users. Based on the application needs, the caching layers would include a session cache for storing a userâs session data, a Content Delivery Network for serving static content, and a database cache for frequently accessed data such as the customerâs 10 most recent purchases.

To learn more about Financial Services apps on AWS click here.

Get started with Amazon ElastiCache

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Instantly get access to the AWS Free Tier.

Learn with simple tutorials

Explore how to create a Redis cluster.

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More Caching Resources

Technical Whitepaper on Database Caching Strategies Using Redis Technical Whitepaper on In-memory Caching Amazon CloudFront

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#####EOF##### Amazon.com: Online Shopping for Electronics, Apparel, Computers, Books, DVDs & more

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#####EOF##### Financial Services - Amazon Web Services

Financial Services

Deliver innovative customer experiences, accelerate your time to market, and enable digital transformation with Amazon Web Services.

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From capital markets and insurance, to global investment banks, payments, and emerging fintech startups, AWS helps customers innovate, modernize, and transform. As a result, our customers speed go-to-market, deliver richer customer engagements and experiences, automate and strengthen security, and drive efficiencies, all while lowering costs.

Leading Financial Services companies like Capital One, FINRA, and Pacific Life are achieving better business outcomes with AWS' solutions including high-performance grid computing, data analytics, digital transformation, security and compliance, disaster recovery, and more.

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Enable an agile infrastructure to optimize and innovate your business, deepen customer relationships, and improve risk profiles with AWS.

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Take compute-intensive workloads into the AWS Cloud to increase speed, scalability, and cost savings.

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Build highly resilient applications for financial institutions on AWS to meet mission-critical application recovery requirements.

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AWS has been architected for organizations in the most security-sensitive and regulated industries, such as Financial Services.

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Leading companies in the Financial Services industry are already using AWS. Contact our experts and start your own AWS Cloud journey today.

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#####EOF##### Amazon.com: Click Here to Kill Everybody: Security and Survival in a Hyper-connected World (9780393608885): Bruce Schneier: Books

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Bruce Schneier

Click Here to Kill Everybody: Security and Survival in a Hyper-connected World Hardcover – September 4, 2018

by Bruce Schneier (Author)

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A world of "smart" devices means the Internet can kill people. We need to act. Now.

Everything is a computer. Ovens are computers that make things hot; refrigerators are computers that keep things cold. These computersâfrom home thermostats to chemical plantsâare all online. The Internet, once a virtual abstraction, can now sense and touch the physical world.

As we open our lives to this future, often called the Internet of Things, we are beginning to see its enormous potential in ideas like driverless cars, smart cities, and personal agents equipped with their own behavioral algorithms. But every knife cuts two ways.

All computers can be hacked. And Internet-connected computers are the most vulnerable. Forget data theft: cutting-edge digital attackers can now crash your car, your pacemaker, and the nationâs power grid. In Click Here to Kill Everybody, renowned expert and best-selling author Bruce Schneier examines the hidden risks of this new reality.

After exploring the full implications of a world populated by hyperconnected devices, Schneier reveals the hidden web of technical, political, and market forces that underpin the pervasive insecurities of today. He then offers common-sense choices for companies, governments, and individuals that can allow us to enjoy the benefits of this omnipotent age without falling prey to its vulnerabilities.

From principles for a more resilient Internet of Things, to a recipe for sane government regulation and oversight, to a better way to understand a truly new environment, Schneierâs vision is required reading for anyone invested in human flourishing.

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Editorial Reviews

Review

âSchneier skillfully guides readers through serious attacks that have happened alreadyâand moves on to those he believes are just over the horizon.... Schneier sets out detailed solutions that should be required reading for politicians across the world.â
- Financial Times

âSchneier, more than the average policymaker or marketing blowhard, has a pretty good idea of what the actual benefits of these systems can be. He avoids the twin temptations of wholesale dismissal and breathless hype, and charts a course that manages the tricky business of being both nuanced and exciting.â
- Cory Doctorow, BoingBoing.net

ââ[Click Here to Kill Everybody] is sober, lucid and often wise in diagnosing how the security challenges posed by the expanding Internet came about, and in proposing what should (but probably wonât) be done about them.â
- Nature

âThis thought-provoking book will mainly have you nodding in agreement and shaking your head in frustration. The future is not yet written, and so prediction, like attribution, is hard. Hopefully, enough people will read the book to change the path of the future. I plan to re-read it, and there can be no greater praise.â
- Paul Baccas, Virus Bulletin

âUseful for an internet user but particularly for those concerned with privacy, civil liberties, and related issues.â
- Kirkus Reviews

About the Author

Bruce Schneier is "one of the worldâs foremost security experts" (Wired), a "security guru" (Economist) and the best-selling author of thirteen books. He speaks and writes regularly for major media venues, and his newsletter and blog reach more than 250,000 people worldwide. He is a fellow and lecturer at the Harvard Kennedy School and the Berkman-Klein Center for Internet & Society; the CTO of IBM Resilient; and a board member of the Electronic Frontier Foundation, Access Now, and the Tor Project.

Hardcover: 288 pages
Publisher: W. W. Norton & Company; 1 edition (September 4, 2018)
Language: English
ISBN-10: 0393608883
ISBN-13: 978-0393608885
Product Dimensions: 6.5 x 1.2 x 9.6 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review: 28 customer reviews
Amazon Best Sellers Rank: #28,427 in Books (See Top 100 in Books)
- #6 in Politics of Privacy & Surveillance
- #23 in Privacy & Online Safety
- #36 in Media & Internet in Politics (Books)

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Why should you know

Disappointed

October 9, 2018

Format: HardcoverVerified Purchase

I'm a big fan of Bruce Schneier and follow his blog for many years. I bought this book immediately after its release and finished it in less than a week.

Pluses:
- It is a very good review of what was happening in IT/Internet/IoT security field during the last few years, with all main events mentioned, everything is thoroughly source-referenced and explained (the Notes part takes one quarter on the book)
- Even despite some dryness in delivery style, the factual part on the book is very interesting to read, the story catches you in a good sense
- Information is (mostly) packed in high-density way, the book is pretty short (~200 pages) and to the point, while at the same time it can be easily read by non-professionals in the field.

Minuses:
- The proposal/prediction parts look less focused comparing to the factual part and to the standard one may expect from the work of this caliber.
- It is hard to say what exactly happened here, but it seems like the author either tried to squeeze as many conclusions as possible in limited amount of pages or he simply did not plan to analyse current IoT security trends that much at all. In too may places it goes like "Something is definitely going to happen, and it may be either A, B or C." Full stop. Huh? That's it? "The weather tomorrow is going to be nice. Or bad. Or it may be raining, but sunny and cloudy weather is also possible". Well, if you know nothing about the different weather phenomena, this is a lot of new and interesting information. If you read this to know what going on the weather front - sorry, but this information is useless.
- (spoiler) The same applies to the chapters about government role in Internet security. Once again, author provides a lot of very precise facts on what happened in the past in the area, how government regulation in the security field came to be what they are now and what to expect in the nearest future and how all these will probably be unable to solve any existing challenges - very thoughtful analysis and based on solid factual evidence. So, what's the author's proposed solution - "Let's create new government agency". Not even "I think it's going to end up in creating new government agency", no, "To solve this, we need a new agency" Even though you just showed how exactly it will not work? I don't get this logic at all. And this is kind of culminating point of the book, if there is one. Very disappointing.

Conclusion (tl;dr) - if you happen to be working in IT or IoT security field, you will probably get very little new information from this book, both the factual one and analysis. If you are somebody who are new to the field, you may find parts of the book interesting or even more like revelations.
The conclusions part of the book is somewhat blurry, less focused and does not sound really convincing. Given the quality of the source material and knowing Mr. Schneier reputation, I was expecting more insights into what's going in the industry than this book has delivered.

27 people found this helpful

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Jan Dziekan

Escape from a bad Nash

November 11, 2018

Format: Kindle EditionVerified Purchase

The title is a tad too clickbait-y (mine probably as well) but this is still the Bruce you admire and respect, with a clear message and scrupulous work. Long story short: the book warns us of unrelenting expansion of Internet into physical world - the Internet of Things - not coupled with adequate security practices. We are dangerously close to a situation where hackers are able to cause real, tangible damage on massive scale. Bruce discusses how all of this came about, what dangers we are facing, and what we can collectively do to improve the course of things.

By âimprovingâ, I mean not only preventing cyber crime, but also protecting privacy and data generated from our actions in the Internet. In a tone set a few years ago in âData and Goliathâ, the author argues that security is weakened by Western governmentsâ propensity for mass surveillance, unlocked by Internetâs central role in our social lives and economic activities. What Snowden revealed, still holds true. Cryptography is painted by the officials as a tool of criminals. Proponents of privacy-strengthening techniques are labeled as âweak on terrorismâ. Elite hackers are employed by governments to find vulnerabilities in systems and networks - not to fix them, but to enable surveillance, espionage and attacks.

Another major factor is security being non-trivial to implement properly and not valued in the economy. Stakeholders prefer to have higher profits now, rather than spend on security which may - or may not - help in the future in case of a cyber attack. Security breaches are treated as PR issues, software companies are in vast majority avoiding any liabilities resulting from faulty programming. Most customers are not thinking of security features, making their purchases on the cheap. Production cycles are increasingly shorter, with little space for security testing. This short-term thinking leads to Internet connecting untold millions of devices which are exploitable.

Bruce does not believe that market forces can nudge companies towards more secure products. From their perspective, being insecure brings almost no financial harm. Since we are in an equilibrium, where shoddy security is beneficial for most players (and consumers are largely indifferent), the only way out is to change the rules of the game. In other words, policymakers should step up and enforce higher security standards in software, similarly to what historically happened in the automobile, aircraft or pharmaceutical industries.

The book is broad in scope - broader than âData and Goliathâ - and its purpose is to form a basis for discussion on the role of digital security in our lives (not only IoT, but the Internet in general). You can be certain that any article you read, concerning security, can be related to concepts pictured herein. It truly serves as âa lay of the landâ.

My main takeaway is the authorâs notion that security is not a problem of technology. Solutions exist. The problem lies in the incentives of people and organizations - as is, in my opinion, with many issues troubling the world today - and correcting those requires concerted effort. We can do better!

5 people found this helpful

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Karen S.

Absolutely spot on

September 18, 2018

Format: Kindle EditionVerified Purchase

This is by far the best single resource I've found to date on IoT security--what the problems are, how we got to this point, what needs to be done, and why it matters. I've read more books, standards, guidelines, articles, and other text on this topic during the past year than I could remember, and this is the only one I've seen that pulls it all together into a cohesive narrative with the proper level of alarm and a realistic plan of action. I've worked in the security industry for 20 years, and I'm already recommending this book to my colleagues.

7 people found this helpful

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Roger A. Grimes

It's pervading my ideas and discussions

December 6, 2018

Format: HardcoverVerified Purchase

The many commonsense ideas that Schneier shares and promoted in Click Here to Kill Everyone are pervading an incredible amount of the ideas and discussions I'm having with other people. It literally has been life-changing for me. I find myself making well-reasoned arguments that when I think about it can be sourced to this book. Everyone involved thinks I'm making some master statement and that I'm smart...and all I'm really doing is promoting what Schneier wrote. I find myself wanting to say, "Read Bruce Schneier's latest book...it's all in there!" And I do, when it's appropriate. I'm not talking about just between friends or on discussion blogs, but in real meetings by serious groups looking to better secure the Internet. Schneier has the plan for how to significantly improve computer security, from a policy and legislative side figured out. Click Here to Kill Everyone is the blueprint for making that happen.

2 people found this helpful

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OS68

Disappointed

November 3, 2018

Format: Kindle EditionVerified Purchase

If you are following Bruce Schneier's blog etc., other blogs and keep yourself up to date then this book is not adding anything new. I didn't finish the book, stopped somewhere in the middle as I felt it is not adding anything new to my understanding. It is probably useful for people that have very little info sec experience.

3 people found this helpful

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AWS IoT Device ManagementNehmen Sie IoT-Geräte auf, organisieren Sie sie und verwalten Sie diese per Fernzugriff

AWS IoT EventsIoT-Ereigniserkennung und -reaktion

AWS IoT SiteWiseIoT-Datenerfassung und -interpretation

AWS IoT Things GraphEinfache Verbindung von Geräten und Webservices

AWS Partner Device CatalogKuratierter Katalog mit AWS-kompatibler IoT-Hardware

Machine Learning

Amazon SageMakerModelle für maschinelles Lernen nach Maß erstellen, trainieren und bereitstellen

Amazon ComprehendEinblicke gewinnen und Beziehungen in Texten erkennen

Amazon Elastic InferenceBeschleunigung der Deep Learning-Inferenz

Amazon ForecastErhöhen Sie die Prognosegenauigkeit mithilfe von Machine Learning

Amazon LexErstellen von Sprach- und Text-Chatbots

Amazon PersonalizeIntegrieren Sie Echtzeitempfehlungen in Ihre Anwendungen

Amazon PollyVerwandeln Sie Text in natürliche Sprache

Amazon RekognitionAnalysieren von Bildern und Videos

Amazon SageMaker Ground TruthErstellen Sie akkurate ML-Schulungsdatensätze

Amazon TextractExtrahieren Sie Text und Daten aus Dokumenten

Amazon TranslateNatürlich klingende, flüssige Übersetzungen

Amazon TranscribeAutomatische Spracherkennung

AWS Deep Learning-AMIsDeep Learning bei Amazon EC2

AWS DeepLensFür Deep Learning aktivierte Videokamera

AWS DeepRacerAutonomes, von ML gelenktes Rennauto im Maßstab 1:18

AWS InferentiaMachine Learning-Inferenzchip

Apache MXNet in AWSSkalierbares, Open-Source-Deep-Learning-Framework

TensorFlow auf AWSQuelloffene Maschinenintelligenz-Bibliothek

Verwaltung und Governance

Amazon CloudWatchÜberwachen von Ressourcen und Anwendungen

AWS Auto ScalingMehrerer Ressourcen skalieren, um Anforderungen zu erfüllen

AWS CloudFormationRessourcen mit Vorlagen erstellen und verwalten

AWS CloudTrailBenutzeraktivitäten und API-Nutzung nachverfolgen

AWS-BefehlszeilenschnittstelleEinheitliches Tool zur Verwaltung von AWS Services

AWS ConfigNachverfolgen von Ressourceninventur und Veränderungen

AWS Control TowerSteuern und richten Sie eine sichere, kompatible Umgebung mit mehreren Konten ein

AWS-Konsole â Mobile AnwendungGreifen Sie auch unterwegs auf Ihre Ressourcen zu.

AWS License ManagerLizenzen nachverfolgen, verwalten und steuern

AWS-ManagementkonsoleWebbasierte Benutzeroberfläche

AWS Managed ServicesInfrastruktur-Betriebsmanagement mit AWS

AWS OpsWorksAutomatisieren von Vorgängen mit Chef und Puppet

AWS Personal Health DashboardPersonalisierte Ansicht des AWS-Servicestatus

AWS Service CatalogErstellen und Verwenden von standardisierten Produkten

AWS Systems ManagerGeschäftseinblicke erhalten und entsprechend reagieren

AWS Trusted AdvisorLeistung und Sicherheit optimieren

AWS Well-Architected ToolWorkloads anzeigen und verbessern

Medienservices

Amazon Elastic TranscoderBenutzerfreundliche skalierbare Transcodierung von Medien

Amazon Kinesis Video StreamsVerarbeiten und Analysieren von Videostreams

AWS Elemental MediaConnectZuverlässige und sichere Übertragung von Live-Videos

AWS Elemental MediaConvertKonvertieren von Datei-basierten Videoinhalten

AWS Elemental MediaLiveKonvertieren Sie Live-Videoinhalte

AWS Elemental MediaPackageVideoursprung und -verpackung

AWS Elemental MediaStoreMedienspeicherung und einfacher HTTP-Ursprung

AWS Elemental MediaTailorVideo-Personalisierung und -Monetisierung

Migration und Übertragung

AWS Migration HubZentrales Nachverfolgen von Migrationen

AWS Application Discovery ServiceLokale Anwendungen zur Optimierung der Migration entdecken

AWS Database Migration ServiceDatenbankenmigration mit minimaler Ausfallzeit

AWS DataSyncEinfache, schnelle Online-Datenübertragung

AWS Server Migration Service Migrieren von lokalen Servern zu AWS

AWS Snow-FamiliePhysische Geräte für die Datenmigration zu und aus AWS

AWS Transfer for SFTPVollständig verwalteter SFTP-Service

Mobil

AWS AmplifyMobile und Webanwendungen erstellen und bereitstellen

Amazon API GatewayErstellen, Bereitstellen und Verwalten von APIs

Amazon PinpointPersonalisierte Nutzerinteraktion über alle Kanäle

AWS AppSyncErstellen Sie datengesteuerte Apps mit Echtzeit- und Offline-Funktionen

AWS Device FarmTesten Sie Android-, iOS- und Web-Apps auf echten Geräten in der AWS Cloud

Netzwerk und Inhaltsbereitstellung

Amazon VPCIsolierte Cloud-Ressourcen

Amazon API GatewayErstellen, Bereitstellen und Verwalten von APIs

Amazon CloudFrontGlobales Netzwerk zur Bereitstellung von Inhalten

Amazon Route 53Skalierbares Domain Name System (DNS)

Amazon VPC PrivateLinkSicherer Zugriff auf Services, die auf AWS gehostet werden

AWS App MeshÜberwachen und steuern Sie Microservices

AWS Cloud MapService-Erkennung für Cloud-Ressourcen

AWS Direct ConnectDedizierte Netzwerkverbindung zu AWS

AWS Global AcceleratorVerbessern von Anwendungsverfügbarkeit und -leistung

AWS Transit GatewayEinfache Skalierung von VPC- und Kontoverbindungen

Robotik

AWS RoboMakerEntwicklung, Tests und Bereitstellung von Robotikanwendungen

Satellit

AWS Ground StationVollständig verwaltete Ground Station as a Service

Sicherheit, Identität und Compliance

AWS Identity and Access Management (IAM)Verwalten von Benutzerzugang und Verschlüsselungsschlüssel

Amazon Cloud DirectoryErstellen flexibler Verzeichnisse in der Cloud

Amazon CognitoIdentitätsverwaltung für Ihre Apps

Amazon GuardDutyVerwalteter Bedrohungserkennungsservice

Amazon InspectorAnalysieren der Anwendungssicherheit

Amazon MacieIhre Daten entdecken, klassifizieren und schützen

AWS ArtifactBedarfsgesteuerter Zugriff auf AWS-Compliance-Berichte

AWS Certificate ManagerBereitstellen und Verwalten von SSL-/TLS-Zertifikaten

AWS CloudHSMHardwarebasierter Schlüsselspeicher zur Einhaltung von Vorschriften

AWS Directory ServiceActive Directory hosten und verwalten

AWS Firewall ManagerZentrale Verwaltung von Firewallregeln

AWS Key Management ServiceVerwaltete Erstellung und Kontrolle über Verschlüsselungsschlüssel

AWS OrganizationsRichtlinienbasierte Verwaltung für mehrere AWS-Konten

AWS Secrets ManagerRotieren, Verwalten und Abrufen von Secrets

AWS Security HubEinheitliches Sicherheits- und Compliance-Zentrum

AWS ShieldDDoS-Schutz

AWS Single Sign-OnCloud Single Sign-on (SSO)-Service

AWS WAFFiltern von bösartigem Web-Datenverkehr

Storage

Amazon Simple Storage Service (S3)Skalierbare Speicherkapazität in der Cloud

Amazon Elastic Block Store (EBS)EC2-Blockspeicher-Volumes

Amazon Elastic File System (EFS)Vollständig verwaltetes Dateisystem für EC2

Amazon FSx for LustreVollständig verwaltetes Dateisystem mit hoher Rechenleistungskapazität

Amazon FSx for Windows File ServerVollständig verwaltetes Windows-natives Dateisystem

Amazon S3 GlacierKostengünstige Archivspeicherung in der Cloud

AWS BackupZentrale Sicherung für mehrere AWS-Services

AWS Snow-FamiliePhysische Geräte für die Datenmigration zu und aus AWS

AWS Storage GatewayHybrid-Speicher-Integration

Alle Produkte anzeigen

Der Motor für Kundeninnovationen

Unternehmenstransformation
Prädiktive Analysen
Machine Learning
SERVERLOS
Gaming
UNTERNEHMENSANWENDUNGEN

Unternehmenstransformation
Capital One revolutioniert das Bankwesen mit AWS

Erfahren Sie, wie Capital One seine Cloud-First-Strategie mithilfe von Weiterbildungsmaßnahmen, langfristiger Planung und ständiger Ausrichtung auf den Kundenbedarf umgesetzt hat.
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Ausrichtung auf Kunden

2014 hatte Capital One bereits eine noch reichlich unausgereifte Cloud-Funktion, experimentierte aber außerdem mit AWS. Im Bestreben, so schnell wie möglich die Funktionen zu entwickeln, die Kunden sich wünschten, entschied sich das Unternehmen, den Weg mit AWS zu beschreiten.

Das Schwierige zuerst

Sicherheit und Compliance sind für Capital One als Finanzinstitut entscheidend. Damit diesen Anforderungen entsprochen wird, entwickelte Capital One eine Cloud-Governance-Funktion, ehe auch nur eine Arbeitslast auf AWS verlegt wurde.

Weiterbildung: Der Schlüssel zur Cloud

Capital One bietet Technikern, die direkt auf AWS arbeiten, ein Weiterbildungsprogramm für die Cloud. Das Gleiche gilt für nicht technische Interessenvertreter, damit diese als Fürsprecher für Cloud Computing agieren können. Die Firma gehört inzwischen zu den drei Unternehmen mit den weltweit meisten AWS-Zertifizierungen von Mitarbeitern.

Vorteile der Cloud erkennen

Mithilfe von AWS bringt Capital One neue Produkte innerhalb von Wochen auf den Markt â nicht Monate oder Jahre. Machine Learning wird zur Verbesserung des Kundenerlebnisses eingesetzt und die besten Entwickler und Techniker werden davon angezogen. Das alles hilft dem Unternehmen, sein wichtigstes Ziel zu erreichen: ein großartiges Erlebnis für seine Kunden zu schaffen.
Prädiktive Analysen
Die Formula One Group verwendet Amazon SageMaker zur Optimierung des Rennsports

Erfahren Sie, wie die Formel 1 Amazon SageMaker und andere AWS-Services einsetzt, um Rennsportentscheidungen zu optimieren und das Fan-Erlebnis zu verbessern.

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Der Beginn einer Transformation

Die Formula One Group stellt einen Großteil seiner Infrastruktur von lokalen Rechenzentren auf AWS um und nimmt eine Standardisierung auf AWS Machine-Learning-Services vor, einschließlich Amazon SageMaker.

Optimierung des Rennsports mit Machine Learning

Durch die Nutzung von innerhalb der letzten 65 Jahren angesammelten Renndaten trainieren Datenwissenschaftler der Formel 1 Deep-Learning-Modelle, die Rennsportprogrognosen ausgeben und die Teams bei der Optimierung von Entscheidungen während des Rennens unterstützen können. Die Modelle können vorhersagen, wann Teams einen Boxenstopp der Fahrzeuge vornehmen sollten, das beste Timing für den Reifenwechsel bestimmen und die Leistung von Fahrern bewerten.

Fans direkt auf der Rennstrecke

Die Formel 1 verwendet die AWS-Daten-Streaming-, Analyse- und Medien-Services, um über 500 Millionen Fans Einblicke in Entscheidungen von Fahrern und die Fahrzeugleistung zu bieten.

Zukunftsgestaltung

Da die Formel 1 ihre HPC-Verarbeitungslasten in einer skalierbaren Umgebung auf AWS ausführt, kann das Unternehmen Innovationen in Hinblick auf das Formel 1-Rennsporterlebnis, das Fahrzeug-Design und in weiteren Bereichen schaffen, ohne sich dabei Sorgen um Kapazitäten machen zu müssen.
Machine Learning
MLB entschied sich für AWS als offiziellen Anbieter von Machine-Learning-Lösungen

Erfahren Sie, wie Amerikas Profi-Baseball-Liga mithilfe von AWS Machine Learning Statistiken eine Bedeutung verlieh
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Eine Grundlage für Deep Learning

MLB hat seit Jahrzehnten statistische Daten zu seinen Spielern und Clubs gesammelt. Ab 2015 wurde schließlich AWS eingesetzt, um Spieltagesstatistiken zur Verbesserung des Fan-Erlebnisses zu erfassen und bereitzustellen.

Unterstützen von Entwicklern

Mit Amazon SageMaker ermöglicht MLB es Entwicklern und Datenwissenschaftlern, schnell und einfach Machine Learning-Modelle jeder Größenordnung zu erstellen, zu trainieren und zu implementieren.

Verringern des Aufwands

Dank dieser Modelle kann MLB manuelle und zeitintensive Prozesse im Zusammenhang mit Datenaufzeichnungen und Statistiken, wie das Zählen von Punkten, das Erfassen von Notizen zum Spiel und die Klassifizierung von Pitches, eliminieren.

Personalisieren des Spiels

MLB plant die Arbeit im Amazon ML Solutions Lab und möchte dort Statcast weiter verbessern. Die Nachverfolgungstechnologie Statcast analysiert die Spielerleistung. Damit werden unter anderem die Genauigkeit von Pitchprognosen geprüft und personalisierte Zuschauererlebnisse geschaffen.

Ein Homerun mit künstlicher Intelligenz

MLB schafft weiter Innovationen mit künstlicher Intelligenz. Das Unternehmen plant den Einsatz von Amazon Comprehend für die Erstellung eines Sprachmodells, welches Skripte für Live-Spiele erstellen könnte, das ikonische Kommentatoren simuliert.
SERVERLOS
Matson betreibt sein globales Versand- und Logistikgeschäft auf AWS

Erfahren Sie, wie Matson mit AWS Innovationen und erstklassigen Kundenservice vorantreibt und gleichzeitig seinen Betrieb zuverlässiger und sicherer macht und Infrastrukturkosten einspart.
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Containerverfolgung in Echtzeit

Matson hat eine mobile Flagship-Anwendung für die globale Containerverfolgung entwickelt, mit der Kunden ihre Frachtsendungen in Echtzeit verfolgen können. Weitere wertvolle Funktionen in der Anwendung sind die interaktive Suche nach Schiffsplänen, ortsbezogene Hafenplanabfragen und Live-Kamera-Feeds.

Zugriff über Mobilgeräte

Alle mobilen Geräte greifen auf AWS über die Amazon API Gateway zu. Dies ermöglicht hochverfügbare Endpunkte für den Zugriff auf Ressourcen innerhalb von Matsons bestehenden VPCs.

Serverlose Datenverarbeitung

Die Funktionen AWS Lambda sind nach dem Microservice-Muster konzipiert und orientieren sich an spezifischen ozeanbasierten Geschäftskontexten wie Sendungsverfolgung und Schiffsfahrplänen.

Datenbankkonfiguration und Speicherung

AWS Lambda verwaltet sowohl die Konfiguration als auch die Benutzer-Feedback-Konfiguration und die Benutzer-Feedback-Benachrichtigungen von mobilen Geräten. DynamoDB Streams liefert Echtzeit-Benachrichtigungen an das Matson-Kundendienstteam.

Datenüberwachung und Warnmeldungen

Die Kunden von Matson verlassen sich auf eine genaue, aktuelle Containerverfolgung und präzise Schiffsstatusinformationen. Für die Überwachung und Warnmeldungen zu Systemereignissen werden Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda und CloudWatch Logs verwendet.

Serverlose End-to-End-Anwendung

Matson kann seinen Kunden nun eine serverlose End-to-End-Anwendung zur Verfolgung ihrer Sendungen anbieten und muss keine Infrastruktur warten.
Gaming
Epic Games setzt auf AWS beim weltweiten Spiel Fortnite

Erfahren Sie, wie Epic Games AWS einsetzt, um Fortnite über 200 Millionen Spielern auf der ganzen Welt bereitzustellen.

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Ein Fundament in der Cloud entwickeln

Epic Games setzt AWS seit 2012 ein und ist inzwischen komplett auf der AWS Cloud. Hier läuft die weltweite Flotte an Game-Servern, Backend-Plattformsystemen, Datenbanken, Websites, die Analytics-Pipeline und die Verarbeitungssysteme.

Erfolg aus dem Nichts

2017 veröffentlichte Epic Games Fortnite, ein Cross-Plattform-Multiplayer-Spiel, das über Nacht zum Riesenerfolg wurde. Im ersten Jahr wuchs der Nutzerbasis von Fortnite um das 100-Fache auf 200 Millionen Spieler weltweit.

Ein nie gekanntes Maß an Skalierung

AWS ist untrennbar mit dem Erfolg von Fortnite verbunden. Mithilfe von AWS hostet Epic Games In-Game-Events, zu denen hunderte Millionen Nutzer eingeladen werden â ganz ohne sich über Kapazität sorgen zu müssen. Es werden 125 Millionen Ereignisse pro Minute in die Analytics-Pipeline eingespeist und ein Wachstum des Data-Warehouse von über 5 PB pro Monat bewältigt.

Das beste Gaming-Erlebnis bieten

Mit AWS verbessert Epic Games ständig das Erlebnis der Spieler und bietet neue, aufregende Spiele und Spielelemente. Das Unternehmen plant, den Einsatz von AWS-Services künftig weiter auszubauen, einschließlich Machine Learning und containerisierte Services.
UNTERNEHMENSANWENDUNGEN
BP verbessert die Effektivität und steigert die Kostenflexibilität und Geschwindigkeit seiner kritischen Geschäftsanwendungen

Erfahren Sie, wie BP seine Suite von SAP-Anwendungen vereinfacht und modernisiert hat, um die Benutzerfreundlichkeit zu verbessern und gleichzeitig Kostenflexibilität und Leistung zu steigern.
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Verwalten kritischer Unternehmensanwendungen

Die IT-Organisation von BP verwaltet SAP-Anwendungen, die von Tausenden Mitarbeitern weltweit für die Lieferkette, Beschaffung, Finanzen und mehr genutzt werden.

Mehr Geschwindigkeit und Kostenflexibilität

Um die Geschwindigkeit zu verbessern und die Kostenflexibilität zu erhöhen, verwendete BP Amazon EC2, um diese Kerngeschäftsanwendungen in die Cloud zu migrieren. Darüber hinaus erstellte Team EC2 X1-Instances, um die Skalierbarkeit zu erhöhen und die Echtzeitanalyse zu unterstützen.

Leistungssteigerung

Das Team kann nun Systeme bei Bedarf in Stunden statt in Wochen oder Monaten aufstellen. BP verzeichnet auf breiter Front Leistungssteigerungen, einschließlich einer 40-prozentigen Geschwindigkeitsverbesserung für das ERP-System von Lubricants.

Datensicherung

Im Rahmen der Cloud-Migration hat BP seine Sicherheitsstandards mithilfe von AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch und AWS Trusted Advisor neu ausgerichtet. Diese neuen Standards halfen BP, einen sicheren Rahmen für den Betrieb ihrer IT-Organisation zu entwickeln.

Suchen. Kaufen. Bereitstellen.

AWS Marketplace ist ein digitaler Katalog mit Tausenden von Softwareangeboten unabhängiger Softwareanbieter, der das Finden, Testen, Kaufen und Bereitstellen von Software, die auf AWS läuft, erleichtert.

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Entdecken Sie unsere Lösungen

Maschinelles Lernen

Bauen Sie mit leistungsstarken Services und Plattformen sowie der umfangreichsten Unterstützung von Machine Learning-Frameworks weltweit.

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Analysen & Data Lakes

Speichern, kategorisieren und analysieren Sie alle Ihre Daten sicher in einem zentralen Repository.

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Internet der Dinge

Ein System allgegenwärtiger Geräte, die eine Verbindung zwischen realer Welt und der Cloud bilden.

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Serverlose Datenverarbeitung

Möchten Sie Anwendungen und Services erstellen und ausführen, ohne sich über Server Gedanken machen zu müssen?

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Container

Verpacken und implementieren Sie Anwendungen, die eine konsistente, portable Softwareumgebung bieten, sodass Anwendungen überall problemlos ausgeführt und skaliert werden können.

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Unternehmensanwendungen

Erstellen Sie eine ausgereifte Services, die speziell für die einzigartigen Sicherheits-, Compliance-, Datenschutz- und Governance-Anforderungen großer Unternehmen entwickelt wurden.

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Speicher

Langlebige, kostengünstige Optionen für Backup, Disaster Recovery und Datenarchivierung im Petabyte-Bereich.

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Windows-Arbeitslasten

Flexible, skalierbare Rechenkapazität für Microsoft-Anwendungen. Einfaches Verwalten und Sichern von Windows-Arbeitslasten.

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Alle Lösungen anzeigen

Für höchste Ansprüche konzipiert

Sicher

Umfassende Sicherheitsfunktionen für höchste Ansprüche.

Konform

Umfassende Kontrollen, Auditing und breite Sicherheitsbescheinigungen

Hybrid

Erstellen Sie hybride Architekturen, die Ihre lokale Infrastruktur in die Cloud erweitern.

Skalierbar

Sie können auf so viel oder wenig Kapazität wie benötigt zugreifen und Ihren Bedarf nach kurzfristiger Ankündigung wie gewünscht anpassen.

Erfahren Sie, wie unsere Kunden auf AWS aufbauen

Alle Erfolgsgeschichten anzeigen

Globales Netzwerk von AWS-Regionen

Die AWS Cloud ist in 61 Availability Zones innerhalb von 20 Regionen weltweit verfügbar, darüber hinaus sind 12 weitere Availability Zones sowie vier weitere Regionen für Bahrain, Kapstadt, Hongkong (SVZ) und Mailand geplant.

Region und Anzahl der Availability Zones

USA Ost
Nord-Virginia (6), Ohio (3)

USA West
Nordkalifornien (3), Oregon (4)

Asien-Pazifik
Mumbai (2), Seoul (2), Singapur (3), Sydney (3), Tokio (4), Osaka-Lokal (1)

Kanada
Zentral (2)

China
Peking (3), Ningxia (2)

Europa
Frankfurt (3), Irland (3), London (3), Paris (3), Stockholm (3)

Südamerika
São Paulo (3)

GovCloud (USA)
US-Ost (3), US-West (3)

Neue Region (in Kürze verfügbar)

Bahrain

Kapstadt

Hongkong (SVZ)

Mailand

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Analystenberichte

Lesen Sie, was Top-Analysten wie Gartner und IDC über AWS sagen.

AWS-Schulungen

On-Demand-Ressourcen zur Entwicklung Ihrer Kenntnisse

AWS-Partnernetzwerk

Treten Sie dem AWS-Partnernetzwerk bei und erweitern Sie Ihr Cloud-Business

AWS Marketplace

Starten Sie eine Vielzahl an beliebten Softwareprodukten auf AWS innerhalb weniger Minuten

#####EOF##### Amazon Web Services (AWS) - Cloud Computing Services

Amazon Lightsail

Everything you need to get started on AWSâfor a low, predictable price

Amazon DynamoDB

Fully managed nonrelational database for any scale

Serverless Application Development

Find tools for testing, deploying, and monitoring serverless applications

110,000+ Databases Migrated to AWS

Save time & costâmigrate to fully managed databases

Explore Our Products

Analytics

Amazon AthenaQuery data in S3 using SQL

Amazon CloudSearchManaged search service

Amazon EMRHosted Hadoop framework

Amazon Elasticsearch ServiceRun and scale Elasticsearch clusters

Amazon KinesisAnalyze real-time video and data streams

Amazon Managed Streaming for KafkaFully managed Apache Kafka service

Amazon RedshiftFast, simple, cost-effective data warehousing

Amazon QuicksightFast business analytics service

AWS Data PipelineOrchestration service for periodic, data-driven workflows

AWS GluePrepare and load data

AWS Lake FormationBuild a secure data lake in days

Application Integration

AWS Step FunctionsCoordination for distributed applications

Amazon MQManaged message broker for ActiveMQ

Amazon Simple Notification Service (SNS)Managed message topics for pub/sub

Amazon Simple Queue Service (SQS) Managed message queues

AWS AppSyncBuild data-driven apps with real-time and offline capabilities

AR & VR

Amazon SumerianBuild and run VR and AR applications

AWS Cost Management

AWS Cost ExplorerAnalyze your AWS cost and usage

AWS BudgetsSet custom cost and usage budgets

AWS Cost and Usage ReportAccess comprehensive cost and usage information

Reserved Instance ReportingDive deeper into your reserved instances (RIs)

Blockchain

Amazon Managed BlockchainCreate and manage scalable blockchain networks

Amazon Quantum Ledger Database (QLDB)Fully managed ledger database

Business Applications

Alexa for BusinessEmpower your organization with Alexa

Amazon ChimeFrustration-free meetings, video calls, and chat

Amazon WorkMailSecure email and calendaring

Compute

Amazon EC2Virtual servers in the cloud

Amazon EC2 Auto ScalingScale compute capacity to meet demand

Amazon Elastic Container RegistryStore and retrieve docker images

Amazon Elastic Container ServiceRun and manage docker containers

Amazon Elastic Container Service for KubernetesRun managed Kubernetes on AWS

Amazon LightsailLaunch and manage virtual private servers

AWS BatchRun batch jobs at any scale

AWS Elastic BeanstalkRun and manage web apps

AWS FargateRun containers without managing servers or clusters

AWS LambdaRun code without thinking about servers

AWS OutpostsRun AWS infrastructure on-premises

AWS Serverless Application RepositoryDiscover, deploy, and publish serverless applications

VMware Cloud on AWSBuild a hybrid cloud without custom hardware

Customer Engagement

Amazon ConnectCloud-based contact center service

Amazon PinpointPersonalized user engagement across channels

Amazon Simple Email Service (SES)Email sending and receiving

Database

Amazon AuroraHigh performance managed relational database

Amazon DynamoDBManaged NoSQL database

Amazon DocumentDB (with MongoDB compatibility)Fully managed document database

Amazon ElastiCacheIn-memory caching system

Amazon Neptune Fully managed graph database service

Amazon Quantum Ledger Database (QLDB)Fully managed ledger database

Amazon RDSManaged relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB

Amazon RDS on VMwareAutomate on-premises database management

Amazon RedshiftFast, simple, cost-effective data warehousing

Amazon TimestreamFully managed time series database

AWS Database Migration ServiceMigrate databases with minimal downtime

Developer Tools

AWS CodeStarDevelop and deploy AWS applications

Amazon CorrettoProduction-ready distribution of OpenJDK

AWS Cloud9Write, run, and debug code on a cloud IDE

AWS CodeBuildBuild and test code

AWS CodeCommitStore code in private Git repositories

AWS CodeDeployAutomate code deployment

AWS CodePipelineRelease software using continuous delivery

AWS Command Line InterfaceUnified tool to manage AWS services

AWS Tools and SDKsTools and SDKs for AWS

AWS X-RayAnalyze and debug your applications

End User Computing

Amazon AppStream 2.0Stream desktop applications securely to a browser

Amazon WorkDocsSecure enterprise document storage and sharing

Amazon WorkLinkEnable mobile access to internal websites

Amazon WorkSpacesVirtual desktops in the cloud

Game Tech

Amazon GameLiftSimple, fast, cost-effective dedicated game server hosting

Amazon LumberyardA free cross-platform 3D game engine, with Full Source, integrated with AWS and Twitch

Internet of Things

AWS IoT CoreConnect devices to the cloud

Amazon FreeRTOSIoT operating system for microcontrollers

AWS GreengrassLocal compute, messaging, and sync for devices

AWS IoT 1-ClickOne click creation of an AWS Lambda trigger

AWS IoT AnalyticsAnalytics for IoT devices

AWS IoT ButtonCloud programmable dash button

AWS IoT Device DefenderSecurity management for IoT devices

AWS IoT Device ManagementOnboard, organize, and remotely manage IoT devices

AWS IoT EventsIoT event detection and response

AWS IoT SiteWiseIoT data collector and interpreter

AWS IoT Things GraphEasily connect devices and web services

AWS Partner Device CatalogCurated catalog of AWS-compatible IoT hardware

Machine Learning

Amazon SageMakerBuild, train, and deploy machine learning models at scale

Amazon ComprehendDiscover insights and relationships in text

Amazon Elastic InferenceDeep learning inference acceleration

Amazon ForecastIncrease forecast accuracy using machine learning

Amazon LexBuild voice and text chatbots

Amazon PersonalizeBuild real-time recommendations into your applications

Amazon PollyTurn text into life-like speech

Amazon RekognitionAnalyze image and video

Amazon SageMaker Ground TruthBuild accurate ML training datasets

Amazon TextractExtract text and data from documents

Amazon TranslateNatural and fluent language translation

Amazon TranscribeAutomatic speech recognition

AWS Deep Learning AMIsDeep learning on Amazon EC2

AWS Deep Learning ContainersDocker images for deep learning

AWS DeepLensDeep learning enabled video camera

AWS DeepRacerAutonomous 1/18th scale race car, driven by ML

AWS InferentiaMachine learning inference chip

Apache MXNet on AWSScalable, open-source deep learning framework

TensorFlow on AWSOpen-source machine intelligence library

Management & Governance

Amazon CloudWatchMonitor resources and applications

AWS Auto ScalingScale multiple resources to meet demand

AWS CloudFormationCreate and manage resources with templates

AWS CloudTrailTrack user activity and API usage

AWS Command Line InterfaceUnified tool to manage AWS services

AWS ConfigTrack resources inventory and changes

AWS Control TowerSet-up and govern a secure, compliant multi-account environment

AWS Console Mobile ApplicationAccess resources on the go

AWS License ManagerTrack, manage, and control licenses

AWS Management ConsoleWeb-based user interface

AWS Managed ServicesInfrastructure operations management for AWS

AWS OpsWorksAutomate operations with Chef and Puppet

AWS OrganizationsCentral governance and management across AWS accounts

AWS Personal Health DashboardPersonalized view of AWS service health

AWS Service CatalogCreate and use standardized products

AWS Systems ManagerGain operational insights and take action

AWS Trusted AdvisorOptimize performance and security

AWS Well-Architected ToolReview and improve your workloads

Media Services

Amazon Elastic TranscoderEasy-to-use scalable media transcoding

Amazon Kinesis Video StreamsProcess and analyze video streams

AWS Elemental MediaConnectReliable and secure live video transport

AWS Elemental MediaConvertConvert file-based video content

AWS Elemental MediaLiveConvert live video content

AWS Elemental MediaPackageVideo origination and packaging

AWS Elemental MediaStoreMedia storage and simple http origin

AWS Elemental MediaTailorVideo personalization and monetization

Migration & Transfer

AWS Migration HubTrack migrations from a single place

AWS Application Discovery ServiceDiscover on-premises applications to streamline migration

AWS Database Migration ServiceMigrate databases with minimal downtime

AWS DataSyncSimple, fast, online data transfer

AWS Server Migration Service Migrate on-premises servers to AWS

AWS Snow FamilyPhysical devices to migrate data into and out of AWS

AWS Transfer for SFTPFully managed SFTP service

Mobile

AWS AmplifyBuild and deploy mobile and web applications

Amazon API GatewayBuild, deploy, and manage API's

Amazon PinpointPersonalized user engagement across channels

AWS AppSyncBuild data-driven apps with real-time and offline capabilities

AWS Device FarmTest Android, iOS, and web apps on real devices in the AWS cloud

Networking & Content Delivery

Amazon VPCIsolated cloud resources

Amazon API GatewayBuild, deploy, and manage APIs

Amazon CloudFrontGlobal content delivery network

Amazon Route 53Scalable domain name system (DNS)

AWS PrivateLinkSecurely access services hosted on AWS

AWS App MeshMonitor and control microservices

AWS Cloud MapService discovery for cloud resources

AWS Direct ConnectDedicated network connection to AWS

AWS Global AcceleratorImprove application availability and performance

AWS Transit GatewayEasily scale VPC and account connections

Elastic Load Balancing (ELB)Distribute incoming traffic across multiple targets

Robotics

AWS RoboMakerDevelop, test, and deploy robotics applications

Satellite

AWS Ground StationFully managed ground station as a service

Security, Identity & Compliance

AWS Identity and Access Management (IAM)Manage user access and encryption keys

Amazon Cloud DirectoryCreate flexible cloud-native directories

Amazon CognitoIdentity management for your apps

Amazon GuardDutyManaged threat detection service

Amazon InspectorAnalyze application security

Amazon MacieDiscover, classify, and protect your data

AWS ArtifactOn-demand access to AWS' compliance reports

AWS Certificate ManagerProvision, manage, and deploy SSL/TLS certificates

AWS CloudHSMHardware-based key storage for regulatory compliance

AWS Directory ServiceHost and manage active directory

AWS Firewall ManagerCentral management of firewall rules

AWS Key Management ServiceManaged creation and control of encryption keys

AWS Secrets ManagerRotate, manage, and retrieve secrets

AWS Security HubUnified security and compliance center

AWS ShieldDDoS protection

AWS Single Sign-OnCloud single sign-on (SSO) service

AWS WAFFilter malicious web traffic

Storage

Amazon Simple Storage Service (S3)Scalable storage in the cloud

Amazon Elastic Block Store (EBS)EC2 block storage volumes

Amazon Elastic File System (EFS)Fully managed file system for EC2

Amazon FSx for LustreFully managed compute-intensive file system

Amazon FSx for Windows File ServerFully managed Windows native file system

Amazon S3 GlacierLow-cost archive storage in the cloud

AWS BackupCentralized backup across AWS services

AWS Snow FamilyPhysical devices to migrate data into and out of AWS

AWS Storage GatewayHybrid storage integration

See All Products

Powering Customer Innovation

Enterprise Transformation
Predictive Analytics
Machine Learning
SERVERLESS
Gaming
ENTERPRISE APPLICATIONS

Enterprise Transformation
Capital One Reimagines Banking Using AWS

Learn how Capital One implemented its cloud-first strategy through education, long-term planning, and constant focus on customer needs.
Learn More

Focusing on Customers

In 2014, Capital One had a fledgling private cloud capability and was also experimenting with AWS. In an effort to build the features its customers wanted as quickly as possible, the company chose to pursue AWS.

Doing the Hard Part First

Security and compliance are critical to Capital One as a financial institution. To address these needs, Capital One built a cloud-risk framework and established a cloud-governance function before moving a single workload to AWS.

Education: Key to the Cloud

Capital One offers a cloud training program to engineers who work directly on AWS as well as non-technical stakeholders who need to be able to advocate for the power of cloud computing. The company now ranks in the top three of all enterprises globally for AWS certifications held by employees.

Realizing the Benefits of the Cloud

Using AWS, Capital One brings new products to market in weeks instead of months or years, uses machine learning to improve customer experience, and attracts top developers and engineersâall of which help the company achieve its most important goal: creating great experiences for its customers.
Predictive Analytics
Formula One Group Uses Amazon SageMaker to Optimize Racing

Learn how Formula 1 uses Amazon SageMaker and other AWS services to optimize racing decisions and improve fan experience.

Learn More

Beginning a Transformation

Formula One Group is moving most of its infrastructure from on-premises data centers to AWS and standardizing on AWS machine-learning servicesâincluding Amazon SageMaker.

Optimizing Racing with Machine Learning

Using historical race data collected from cars over the past 65 years, Formula 1 data scientists are training deep-learning models that make race predictions and help teams optimize mid-race decisions. The models can predict when teams should pit their cars, determine the best timing for changing tires, and evaluate how drivers are performing.

Bringing Fans onto the Track

Formula 1 then uses AWS data streaming, analytics, and media services to deliver insights about driver decisions and car performance to its more than 500 million fans.

Building for the Future

Because Formula 1 runs its high-performance computing workloads in a scalable environment on AWS, the organization can innovate on the Formula 1 racing experience, car design, and more without worrying about capacity.
Machine Learning
MLB Chooses AWS as Official Machine Learning Provider

Learn How Americaâs Professional Baseball League Brings Meaning to Statistics Using AWS Machine Learning
Learn More

A Foundation for Deep Learning

MLB has been collecting statistical data on its players and clubs for decades, and in 2015 it started using AWS to collect and distribute game-day stats to enhance the fan experience.

Empowering Developers

By using Amazon Sagemaker, MLB is empowering its developers and data scientists to quickly and easily build, train, and deploy machine-learning models at scale.

Lightening the Load

These models help MLB eliminate manual, time-intensive processes associated with recordkeeping and statistics, like scorekeeping, capturing game notes, and classifying pitches.

Personalizing the Game

MLB plans to work with the Amazon ML Solutions Lab to continue improving Statcastâits tracking technology that analyzes player performanceâincluding testing accuracy of pitch predictions and creating personalized viewer experiences.

A Home Run with Artificial Intelligence

MLB will continue to innovate using artificial intelligence. The organization plans to use Amazon Comprehend to build a language model that could create scripts for live games that simulate iconic announcers.
SERVERLESS
Matson Operates Its Global Shipping and Logistics Businesses on AWS

Learn how Matson is using AWS to drive innovation and world-class customer service, while achieving operational reliability, security, and infrastructure cost savings.
Learn More

Real-Time Container Tracking

Matson built a flagship mobile application for global container tracking that allows customers to perform real-time tracking of their freight shipments. Other valuable features in the application include interactive vessel schedule searching, location-based port map lookups, and live gate-camera feeds.

Mobile Device Access

All mobile devices access AWS via Amazon API Gateway. This provides highly available edge located endpoints for access into resources within Matson's existing virtual private clouds.

Serverless Computing

The AWS Lambda functions are designed using the microservices pattern and are modeled around specific ocean-based business contexts, such as shipment tracking and vessel schedules.

Database Configuration and Storage

Amazon DynamoDB manages configuration as well as user-feedback configuration and user-feedback notifications sent from mobile devices. DynamoDB Streams provides real-time notifications to Matson's customer service team.

Data Monitoring and Alerts

Matson's customers rely on accurate, up-to-the-minute container tracking and vessel status information. Monitoring and alerting of system events is achieved by using Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda, and CloudWatch Logs.

End-to-End Serverless Application

Matson can now offer customers an end-to-end serverless application to help track their shipments, and has no infrastructure to maintain.
Gaming
Epic Games Uses AWS to Power Worldwide Game Fortnite

Learn how Epic Games uses AWS to deliver Fortnite to more than 200 million players around the world.

Learn More

Building a Foundation on the Cloud

Epic Games has been using AWS since 2012 and is now all in on the AWS Cloud, running its worldwide game-server fleet, backend platform systems, databases, websites, analytics pipeline, and processing systems on AWS.

An Overnight Sensation

In 2017, Epic Games launched Fortnite, a cross-platform, multiplayer game that became an overnight sensation. In its first year, Fortniteâs user base grew by more than 100 times to 200 million players worldwide.

Pushing the Boundaries of Scale

AWS is integral to the success of Fortnite. Using AWS, Epic Games hosts in-game events with hundreds of millions of invited users without worrying about capacity, ingests 125 million events per minute into its analytics pipeline, and handles data-warehouse growth of more than 5 PB per month.

Providing the Best Gaming Experience

Using AWS, Epic Games is always improving the experience of its players and offering new, exciting games and game elements. The company plans to expand its use of AWS services in the future, including machine learning and containerized services.
ENTERPRISE APPLICATIONS
BP Improves Effectiveness and Gains Cost Agility and Speed for Its Critical Business Apps

See how BP simplified and modernized its suite of SAP applications, improving user experience while gaining cost agility and enhanced performance.
Learn More

Managing Critical Business Apps

BP's IT organization manages SAP applications used by thousands of employees worldwide for supply chain, procurement, finance, and more.

Improving Speed & Cost Agility

To improve speed and gain cost agility, BP used Amazon EC2 to migrate these core business apps to the cloud. In addition, the team built EC2 X1 instances to increase scale and to power their real-time analytics.

Increasing Performance

The team can now stand up systems on demand in hours instead of weeks or months. BP is seeing performance increases across the board, including a 40 percent speed improvement for the Lubricants ERP system.

Securing Data

As part of its cloud migration, BP reset its security standards using AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch, and AWS Trusted Advisor. These new standards helped BP to develop a secure framework for operating its IT organization.

Find. Buy. Deploy.

AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS.

Learn More

Explore Our Solutions

Machine Learning

Build with powerful services and platforms, and the broadest machine learning framework support anywhere.

Learn More

Analytics & Data Lakes

Securely store, categorize, and analyze all your data in one, centralized repository.

Learn More

Internet of Things

A system of ubiquitous devices connecting the physical world to the cloud.

Learn More

Serverless Computing

Build and run applications and services without thinking about servers.

Learn More

Containers

Package and deploy applications that are lightweight and provide a consistent, portable software environment for applications to easily run and scale anywhere.

Learn More

Enterprise Applications

Build with a mature set of services specifically designed for the unique security, compliance, privacy, and governance requirements of large organizations.

Learn More

Storage

Durable, cost-effective options for backup, disaster recovery, and data archiving at petabyte scale.

Learn More

Windows Workloads

Flexible, scalable compute capacity for Microsoft applications. Easily manage and secure Windows workloads.

Learn More

View All Solutions

Engineered for the Most Demanding Requirements

Secure

Comprehensive security capabilities to satisfy the most demanding requirements.

Compliant

Rich controls, auditing and broad security accreditations.

Hybrid

Build hybrid architectures that extend your on-premises infrastructure to the Cloud.

Scalable

Access as much or as little as you need, and scale up and down as required with only a few minutes notice.

Learn How Our Customers Build on AWS

View All Customer Stories

Global Network of AWS Regions

The AWS Cloud spans 61 Availability Zones within 20 geographic Regions around the world, with announced plans for 15 more Availability Zones and five more regions in Bahrain, Cape Town, Hong Kong SAR, Jakarta, and Milan.

Global Infrastructure Map-Jakarta and Hong Kong_update

Regions & Number of Availability Zones

US East
N. Virginia (6), Ohio (3)

US West
N. California (3), Oregon (4)

Asia Pacific
Mumbai (2), Seoul (2), Singapore (3), Sydney (3), Tokyo (4), Osaka-Local (1)

Canada
Central (2)

China
Beijing (2), Ningxia (3)

Europe
Frankfurt (3), Ireland (3), London (3), Paris (3), Stockholm (3)

South America
São Paulo (3)

GovCloud (US)
US-East (3), US-West (3)

New Region (Coming Soon)

Bahrain

Cape Town

Hong Kong SAR

Jakarta

Milan

Learn More

Analyst Reports

Read what top analysts such as Gartner and IDC are saying about AWS

AWS Training

Free digital courses to help you develop your skills

AWS Partner Network

Join AWS Partner Network to build and grow your cloud business

AWS Marketplace

Launch a variety of popular software on AWS in minutes

#####EOF##### AWS Articles

Articles & Tutorials

The Articles and Tutorials section features in-depth documents designed to give practical help to developers working with AWS. They have been created by members of the AWS developer community or the Amazon Team and give structured examples, analysis, tips, tricks and guidelines based on real usage of AWS services.

#####EOF#####

#####EOF##### Amazon Web Services (AWS) â Dá»ch vá»¥ Äiá»n toán Äám mây

Lightsail

Táº¥t cáº£ nhá»¯ng gì báº¡n cáº§n Äá» báº¯t Äáº§u vá»i AWS â vá»i chi phí tháº¥p và có thá» dá»± Äoán

Amazon DynamoDB

CÆ¡ sá» dá»¯ liá»u phi quan há» ÄÆ°á»£c quáº£n lý Äáº§y Äá»§ cho quy mô báº¥t ká»³

Phát triá»n á»©ng dá»¥ng Serverless

Tìm công cá»¥ kiá»m thá», triá»n khai và theo dõi các á»©ng dá»¥ng serverless

Trên 110.000 cÆ¡ sá» dá»¯ liá»u Äã ÄÆ°á»£c di chuyá»n lên AWS

Tiáº¿t kiá»m thá»i gian và tiá»n báº¡câdi chuyá»n sang cÆ¡ sá» dá»¯ liá»u ÄÆ°á»£c quáº£n lý toàn pháº§n

Tìm hiá»u các sáº£n pháº©m cá»§a chúng tôi

Phân tích

Amazon AthenaTruy váº¥n dá»¯ liá»u trong S3 báº±ng SQL

Amazon CloudSearchDá»ch vá»¥ tìm kiáº¿m ÄÆ°á»£c quáº£n lý

Amazon EMRFramework Hadoop trong môi trÆ°á»ng lÆ°u trá»¯

Amazon Elasticsearch ServiceCháº¡y và thay Äá»i quy mô cá»¥m Elasticsearch

Amazon KinesisPhân tích luá»ng video và dá»¯ liá»u thá»i gian thá»±c

Amazon Managed Streaming cho KafkaDá»ch vá»¥ Apache Kafka ÄÆ°á»£c quáº£n lý toàn pháº§n

Amazon RedshiftKho dá»¯ liá»u nhanh, ÄÆ¡n giáº£n và tiáº¿t kiá»m chi phí

Amazon QuickSightDá»ch vá»¥ phân tích kinh doanh tá»c Äá» cao

AWS Data PipelineDá»ch vá»¥ Äiá»u phá»i dành cho luá»ng công viá»c Äá»nh ká»³ hÆ°á»ng dá»¯ liá»u

AWS GlueChuáº©n bá» và táº£i dá»¯ liá»u

AWS Lake FormationXây dá»±ng kho dá»¯ liá»u báº£o máºt trong vài ngày

Tích há»£p á»©ng dá»¥ng

AWS Step FunctionsÄiá»u phá»i dành cho á»©ng dá»¥ng ÄÆ°á»£c phân phá»i

Amazon MQTrình trung chuyá»n tin nháº¯n ÄÆ°á»£c quáº£n lý dành cho ActiveMQ

Amazon Simple Notification Service (SNS)Chá»§ Äá» thông báo ÄÆ°á»£c quáº£n lý cho pub/sub

Amazon Simple Queue Service (SQS) Hàng Äá»£i tin nháº¯n ÄÆ°á»£c quáº£n lý

AWS AppSyncXây dá»±ng á»©ng dá»¥ng theo hÆ°á»ng dá»¯ liá»u vá»i các tính nÄng thá»i gian thá»±c và ngoáº¡i tuyáº¿n

Thá»±c táº¿ tÄng cÆ°á»ng và Thá»±c táº¿ áº£o

Amazon SumerianXây dá»±ng và cháº¡y các á»©ng dá»¥ng thá»±c táº¿ áº£o và thá»±c táº¿ tÄng cÆ°á»ng

Quáº£n lý chi phí AWS

AWS Cost ExplorerPhân tích chi phí và lÆ°á»£ng sá» dá»¥ng AWS cá»§a báº¡n

AWS BudgetsThiáº¿t láºp chi phí tùy chá»nh và ngân sách có thá» sá» dá»¥ng

Báo cáo chi phí và lÆ°á»£ng sá» dá»¥ng AWSTiáº¿p cáºn thông tin toàn diá»n vá» máº·t chi phí và lÆ°á»£ng sá» dá»¥ng

Báo cáo phiên báº£n dá»± trá»¯Phân tích chuyên sâu phiên báº£n dá»± trá»¯ (RI)

Blockchain

Amazon Managed BlockchainTáº¡o và quáº£n lý máº¡ng lÆ°á»i blockchain có thá» thay Äá»i quy mô

Amazon Quantum Ledger Database (QLDB)CÆ¡ sá» dá»¯ liá»u sá» cái ÄÆ°á»£c quáº£n lý toàn pháº§n

Các á»©ng dá»¥ng dành cho doanh nghiá»p

Alexa for BusinessTrang bá» Alexa Äá» tiáº¿p thêm sá»©c máº¡nh cho tá» chá»©c cá»§a báº¡n

Amazon ChimeCuá»c há»p, cuá»c gá»i video và trò chuyá»n không gáº·p phiá»n toái

Amazon WorkMailBáº£o máºt email và lá»ch

Äiá»n toán

Amazon EC2Máy chá»§ áº£o trên Äám mây

Amazon EC2 Auto ScalingThay Äá»i quy mô nÄng lá»±c Äiá»n toán nháº±m Äáp á»©ng nhu cáº§u

Amazon Elastic Container RegistryLÆ°u trá»¯ và truy xuáº¥t hình áº£nh Docker

Amazon Elastic Container ServiceCháº¡y và quáº£n lý container Docker

Amazon Elastic Container Service cho KubernetesCháº¡y Kubernetes ÄÆ°á»£c quáº£n lý trên AWS

Amazon LightsailCháº¡y và quáº£n lý máy chá»§ riêng áº£o

AWS BatchCháº¡y tác vá»¥ theo lô á» má»i quy mô

AWS Elastic BeanstalkCháº¡y và quáº£n lý á»©ng dá»¥ng web

AWS FargateCháº¡y các bá» chá»©a mà không cáº§n quáº£n lý máy chá»§ hoáº·c cá»¥m máy chá»§

AWS LambdaCháº¡y mã mà không cáº§n quan tâm tá»i máy chá»§.

AWS OutpostsCháº¡y cÆ¡ sá» háº¡ táº§ng AWS táº¡i chá»

AWS Serverless Application RepositoryKhám phá, triá»n khai và phát hành các á»©ng dá»¥ng serverless

Elastic Load Balancing (ELB)Phân phá»i lÆ°u lÆ°á»£ng vào trên nhiá»u má»¥c tiêu

VMware Cloud on AWSXây dá»±ng kiáº¿n trúc Äám mây lai mà không cáº§n pháº§n cá»©ng tùy chá»nh

Gáº¯n káº¿t vá»i khách hàng

Amazon ConnectDá»ch vá»¥ trung tâm liên há» trên ná»n táº£ng Äám mây

Amazon PinpointTÆ°Æ¡ng tác vá»i ngÆ°á»i dùng ÄÆ°á»£c cá nhân hóa trên các kênh

Amazon Simple Email Service (SES)Gá»i và nháºn email

CÆ¡ sá» dá»¯ liá»u

Amazon AuroraCÆ¡ sá» dá»¯ liá»u quan há» ÄÆ°á»£c quáº£n lý có hiá»u nÄng cao

Amazon DynamoDBCÆ¡ sá» dá»¯ liá»u NoSQL ÄÆ°á»£c quáº£n lý

Amazon DocumentDB (có kháº£ nÄng tÆ°Æ¡ng thích vá»i MongoDB)CÆ¡ sá» dá»¯ liá»u tài liá»u ÄÆ°á»£c quáº£n lý toàn pháº§n

Amazon ElastiCacheHá» thá»ng bá» nhá» Äá»m trong bá» nhá»

Amazon Neptune Dá»ch vá»¥ cÆ¡ sá» dá»¯ liá»u Äá» thá» ÄÆ°á»£c quáº£n lý Äáº§y Äá»§

Amazon Quantum Ledger Database (QLDB)CÆ¡ sá» dá»¯ liá»u sá» cái ÄÆ°á»£c quáº£n lý toàn pháº§n

Amazon RDSDá»ch vá»¥ cÆ¡ sá» dá»¯ liá»u quan há» ÄÆ°á»£c quáº£n lý cho MySQL, PostgreSQL, Oracle, SQL Server và MariaDB

Amazon RDS on VMwareTá»± Äá»ng hóa quáº£n lý cÆ¡ sá» dá»¯ liá»u táº¡i chá»

Amazon RedshiftKho dá»¯ liá»u nhanh, ÄÆ¡n giáº£n và tiáº¿t kiá»m chi phí

Amazon TimestreamCÆ¡ sá» dá»¯ liá»u chuá»i thá»i gian ÄÆ°á»£c quáº£n lý toàn pháº§n

AWS Database Migration ServiceDi chuyá»n cÆ¡ sá» dá»¯ liá»u vá»i thá»i gian ngá»«ng hoáº¡t Äá»ng tá»i thiá»u

Công cá»¥ dành cho nhà phát triá»n

AWS CodeStarPhát triá»n và triá»n khai các á»©ng dá»¥ng cá»§a AWS

Amazon CorrettoBáº£n phân phá»i OpenJDK á» tráº¡ng thái sáºµn sàng sáº£n xuáº¥t

AWS Cloud9Viáº¿t, cháº¡y và gá»¡ lá»i mã trên IDE Äám mây

AWS CodeBuildDá»±ng và kiá»m thá» mã

AWS CodeCommitLÆ°u trá»¯ mã trong kho dá»¯ liá»u Git riêng

AWS CodeDeployTá»± Äá»ng hóa viá»c triá»n khai mã

AWS CodePipelinePhát hành pháº§n má»m theo hình thá»©c phân phá»i liên tá»¥c

AWS Command Line InterfaceCông cá»¥ há»£p nháº¥t Äá» quáº£n lý các dá»ch vá»¥ cá»§a AWS

Công cá»¥ và SDK cá»§a AWSCông cá»¥ và SDK dành cho AWS

AWS X-RayPhân tích và gá»¡ lá»i á»©ng dá»¥ng cá»§a báº¡n

Äiá»n toán dành cho ngÆ°á»i dùng cuá»i

Amazon AppStream 2.0Phát trá»±c tuyáº¿n á»©ng dá»¥ng trên máy tính Äá» bàn sang trình duyá»t má»t cách an toàn

Amazon WorkDocsBáº£o máºt viá»c lÆ°u trá»¯ và chia sáº» tài liá»u cá»§a doanh nghiá»p

Amazon WorkLinkCho phép truy cáºp di Äá»ng vào các trang web ná»i bá»

Amazon WorkSpacesMáy tính áº£o trên Äám mây

Game Tech

Amazon GameLiftLÆ°u trá»¯ máy chá»§ trò chÆ¡i chuyên dá»¥ng tá»c Äá» cao, ÄÆ¡n giáº£n và tiáº¿t kiá»m chi phí

Amazon LumberyardEngine trò chÆ¡i 3D Äa ná»n táº£ng miá»n phí vá»i mã nguá»n Äáº§y Äá»§, ÄÆ°á»£c tích há»£p vá»i AWS và Twitch

Internet of Things

AWS IoT CoreKáº¿t ná»i thiáº¿t bá» vá»i Äám mây

Amazon FreeRTOSHá» Äiá»u hành IoT dành cho bá» vi Äiá»u khiá»n

AWS GreengrassÄiá»n toán táº¡i chá», nháº¯n tin và Äá»ng bá» cho thiáº¿t bá»

AWS IoT 1-ClickTáº¡o bá» kích hoáº¡t AWS Lambda báº±ng má»t cú nháº¥p chuá»t

AWS IoT AnalyticsPhân tích dành cho thiáº¿t bá» IoT

Nút AWS IoTNút Dash có thá» láºp trình Äám mây

AWS IoT Device DefenderQuáº£n lý báº£o máºt cho các thiáº¿t bá» IoT

AWS IoT Device ManagementTích há»£p, sáº¯p xáº¿p và quáº£n lý tá»« xa các thiáº¿t bá» IoT

AWS IoT EventsPhát hiá»n và á»©ng phó sá»± cá» IoT

AWS IoT SiteWiseBá» thu tháºp và diá»n giáº£i dá»¯ liá»u IoT

AWS IoT Things GraphDá» dàng káº¿t ná»i thiáº¿t bá» và dá»ch vá»¥ web

AWS Partner Device CatalogDanh má»¥c chá»n lá»c pháº§n cá»©ng IoT tÆ°Æ¡ng thích vá»i AWS

Machine Learning

Amazon SageMakerXây dá»±ng, Äào táº¡o và triá»n khai các mô hình Machine Learning á» quy mô lá»n

Amazon ComprehendKhám phá thông tin chuyên sâu và má»i quan há» trong vÄn báº£n

Amazon Elastic InferenceTÄng tá»c suy diá»n deep learning

Amazon ForecastTÄng Äá» chính xác cá»§a dá»± báo báº±ng cách sá» dá»¥ng machine learning

Amazon LexDá»±ng Chatbot báº±ng vÄn báº£n và giá»ng nói

Amazon PersonalizeTích há»£p các Äá» xuáº¥t theo thá»i gian thá»±c vào á»©ng dá»¥ng cá»§a báº¡n

Amazon PollyChuyá»n Äá»i vÄn báº£n thành giá»ng nói chân thá»±c

Amazon RekognitionPhân tích hình áº£nh và video

Amazon SageMaker Ground TruthDá»±ng các bá» dá»¯ liá»u huáº¥n luyá»n ML chính xác

Amazon TextractTrích xuáº¥t vÄn báº£n và dá»¯ liá»u tá»« tài liá»u

Amazon TranslateDá»ch ngôn ngá»¯ má»t cách tá»± nhiên và trôi cháº£y

Amazon TranscribeNháºn dáº¡ng giá»ng nói tá»± Äá»ng

AMI AWS Deep LearningDeep learning trên Amazon EC2

AWS DeepLensMáy quay video há» trá»£ deep learning

AWS DeepRacerXe Äua tá»± Äá»ng có tá»· lá» 1:18, ÄÆ°á»£c Äiá»u khiá»n bá»i ML

AWS InferentiaChip suy diá»n machine learning

Apache MXNet trên AWSFramework deep learning mã nguá»n má» và quy mô linh hoáº¡t

TensorFlow trên AWSThÆ° viá»n trí tuá» nhân táº¡o mã nguá»n má»

Quáº£n lý và quáº£n trá»

Amazon CloudWatchTheo dõi tài nguyên và á»©ng dá»¥ng

AWS Auto ScalingThay Äá»i quy mô nhiá»u tài nguyên Äá» Äáp á»©ng nhu cáº§u

AWS CloudFormationTáº¡o và quáº£n lý tài nguyên báº±ng máº«u

AWS CloudTrailTheo dõi hoáº¡t Äá»ng cá»§a ngÆ°á»i dùng và lÆ°á»£ng sá» dá»¥ng API

AWS Command Line InterfaceCông cá»¥ há»£p nháº¥t Äá» quáº£n lý các dá»ch vá»¥ cá»§a AWS

AWS ConfigTheo dõi kho tài nguyên và các thay Äá»i

AWS Control TowerThiáº¿t láºp và quáº£n lý môi trÆ°á»ng nhiá»u tài khoáº£n tuân thá»§, báº£o máºt

á»¨ng dá»¥ng di Äá»ng Báº£ng Äiá»u khiá»n AWSTruy cáºp các tài nguyên ngay cáº£ khi Äang di chuyá»n

AWS License ManagerTheo dõi, quáº£n lý và kiá»m soát giáº¥y phép

Báº£ng Äiá»u khiá»n quáº£n lý AWSGiao diá»n ngÆ°á»i dùng trên web

AWS Managed ServicesQuáº£n lý váºn hành cÆ¡ sá» háº¡ táº§ng dành cho AWS

AWS OpsWorksTá»± Äá»ng hóa hoáº¡t Äá»ng báº±ng pháº§n má»m Chef và Puppet

AWS Personal Health DashboardDáº¡ng xem cá nhân hóa tình tráº¡ng dá»ch vá»¥ AWS

AWS Service CatalogTáº¡o và sá» dá»¥ng các sáº£n pháº©m ÄÆ°á»£c chuáº©n hóa

AWS Systems ManagerThu tháºp thông tin chuyên sâu vá» hoáº¡t Äá»ng và thá»±c hiá»n hành Äá»ng

AWS Trusted AdvisorTá»i Æ°u hóa hiá»u nÄng và báº£o máºt

AWS Well-Architected ToolÄánh giá và cáº£i thiá»n khá»i lÆ°á»£ng công viá»c cá»§a báº¡n

Dá»ch vá»¥ phÆ°Æ¡ng tiá»n truyá»n thông

Amazon Elastic TranscoderChuyá»n mã ná»i dung phÆ°Æ¡ng tiá»n truyá»n thông vá»i quy mô linh hoáº¡t, dá» sá» dá»¥ng

Amazon Kinesis Video StreamsXá» lý và phân tích luá»ng video

AWS Elemental MediaConnectTruyá»n video trá»±c tiáº¿p má»t cách tin cáºy và báº£o máºt

AWS Elemental MediaConvertChuyá»n Äá»i ná»i dung video dáº¡ng tá»p

AWS Elemental MediaLiveChuyá»n Äá»i ná»i dung video trá»±c tiáº¿p

AWS Elemental MediaPackageTáº¡o và trình bày hoàn chá»nh video

AWS Elemental MediaStoreLÆ°u trá»¯ ná»i dung phÆ°Æ¡ng tiá»n và nguá»n http ÄÆ¡n giáº£n

AWS Elemental MediaTailorCá nhân hóa và thÆ°Æ¡ng máº¡i hóa video

Di chuyá»n và truyá»n dá»¯ liá»u

AWS Migration HubTheo dõi các hoáº¡t Äá»ng di chuyá»n tá»« má»t nÆ¡i duy nháº¥t

AWS Application Discovery ServiceTìm hiá»u các á»©ng dá»¥ng táº¡i chá» Äá» tá» chá»©c há»£p lý hóa quá trình di chuyá»n

AWS Database Migration ServiceDi chuyá»n cÆ¡ sá» dá»¯ liá»u vá»i thá»i gian ngá»«ng hoáº¡t Äá»ng tá»i thiá»u

AWS DataSyncTruyá»n dá»¯ liá»u trá»±c tuyáº¿n ÄÆ¡n giáº£n, nhanh chóng

AWS Server Migration Service Di chuyá»n máy chá»§ táº¡i chá» lên AWS

Dòng sáº£n pháº©m và dá»ch vá»¥ AWS SnowThiáº¿t bá» váºt lý dùng Äá» di chuyá»n dá»¯ liá»u vào và ra khá»i AWS

AWS Transfer for SFTPDá»ch vá»¥ SFTP ÄÆ°á»£c quáº£n lý toàn pháº§n

Di Äá»ng

AWS AmplifyDá»±ng và triá»n khai á»©ng dá»¥ng di Äá»ng và web

Amazon API GatewayXây dá»±ng, triá»n khai và quáº£n lý API

Amazon PinpointTÆ°Æ¡ng tác vá»i ngÆ°á»i dùng ÄÆ°á»£c cá nhân hóa trên các kênh

AWS AppSyncXây dá»±ng á»©ng dá»¥ng hÆ°á»ng dá»¯ liá»u vá»i các tính nÄng thá»i gian thá»±c và ngoáº¡i tuyáº¿n

AWS Device FarmCháº¡y thá» á»©ng dá»¥ng Android, iOS và web trên thiáº¿t bá» thá»±c trên Äám mây AWS

Káº¿t ná»i máº¡ng và phân phá»i ná»i dung

Amazon VPCTài nguyên trên Äám mây bá» cách ly

Amazon API GatewayXây dá»±ng, triá»n khai và quáº£n lý API

Amazon CloudFrontHá» thá»ng máº¡ng phân phá»i ná»i dung toàn cáº§u

Amazon Route 53Há» thá»ng tên miá»n có kháº£ nÄng má» rá»ng (DNS)

Amazon VPC PrivateLinkTruy cáºp báº£o máºt các dá»ch vá»¥ ÄÆ°á»£c lÆ°u trá»¯ trên AWS

AWS App MeshGiám sát và kiá»m soát các vi dá»ch vá»¥

AWS Cloud MapKhám phá dá»ch vá»¥ cho các tài nguyên Äám mây

AWS Direct ConnectKáº¿t ná»i máº¡ng chuyên dá»¥ng Äáº¿n AWS

AWS Global AcceleratorCáº£i thiá»n Äá» sáºµn sàng và hiá»u suáº¥t cá»§a á»©ng dá»¥ng

AWS Transit GatewayDá» dàng thay Äá»i quy mô káº¿t ná»i VPC và tài khoáº£n

Khoa há»c robot

AWS RoboMakerPhát triá»n, kiá»m thá» và triá»n khai á»©ng dá»¥ng robot

Vá» tinh

AWS Ground StationSá» dá»¥ng tráº¡m cÆ¡ sá» ÄÆ°á»£c quáº£n lý toàn pháº§n nhÆ° má»t dá»ch vá»¥

Báº£o máºt, Äá»nh danh và tuân thá»§

AWS Identity and Access Management (IAM)Quáº£n lý khóa mã hóa và quyá»n truy cáºp cá»§a ngÆ°á»i dùng

Amazon Cloud DirectoryTáº¡o danh báº¡ thuáº§n Äám mây linh hoáº¡t

Amazon CognitoQuáº£n lý Äá»nh danh cho á»©ng dá»¥ng cá»§a báº¡n

Amazon GuardDutyDá»ch vá»¥ phát hiá»n má»i Äe dá»a ÄÆ°á»£c quáº£n lý

Amazon InspectorPhân tích báº£o máºt á»©ng dá»¥ng

Amazon MacieTìm hiá»u, phân loáº¡i và báº£o vá» dá»¯ liá»u cá»§a báº¡n

AWS ArtifactTruy cáºp theo yêu cáº§u vào các báo cáo tuân thá»§ cá»§a AWS

AWS Certificate ManagerCung cáº¥p, quáº£n lý và triá»n khai chá»©ng chá» SSL/TLS

AWS CloudHSMLÆ°u trá»¯ khóa báº±ng pháº§n cá»©ng Äá» phá»¥c vá»¥ viá»c tuân thá»§ quy Äá»nh

AWS Directory ServiceLÆ°u trá»¯ và quáº£n lý Active Directory

AWS Firewall ManagerQuáº£n lý táºp trung quy táº¯c tÆ°á»ng lá»a

AWS Key Management ServiceTáº¡o và kiá»m soát khóa mã hóa ÄÆ°á»£c quáº£n lý

AWS OrganizationsQuáº£n lý theo chính sách cho nhiá»u tài khoáº£n AWS

AWS Secrets ManagerXoay, quáº£n lý và truy xuáº¥t bí máºt

AWS Security HubTrung tâm báº£o máºt và tuân thá»§ há»£p nháº¥t

AWS ShieldBáº£o vá» chá»ng DDoS

AWS Single Sign-OnDá»ch vá»¥ ÄÄng nháºp má»t láº§n (SSO) trên Äám mây

AWS WAFLá»c lÆ°u lÆ°á»£ng truy cáºp web Äá»c háº¡i

LÆ°u trá»¯

Amazon Simple Storage Service (S3)LÆ°u trá»¯ có kháº£ nÄng thay Äá»i quy mô trên Äám mây

Amazon Elastic Block Store (EBS)á» ÄÄ©a lÆ°u trá»¯ dáº¡ng khá»i EC2

Amazon Elastic File System (EFS)Há» thá»ng táºp tin ÄÆ°á»£c quáº£n lý toàn pháº§n cho EC2

Amazon FSx for LustreHá» thá»ng tá»p thiên vá» Äiá»n toán ÄÆ°á»£c quáº£n lý toàn pháº§n

Amazon FSx for Windows File ServerHá» thá»ng tá»p gá»c Windows ÄÆ°á»£c quáº£n lý toàn pháº§n

Amazon S3 GlacierLÆ°u trá»¯ chi phí tháº¥p trên Äám mây

AWS BackupSao lÆ°u táºp trung giá»¯a các dá»ch vá»¥ AWS

Dòng sáº£n pháº©m và dá»ch vá»¥ AWS SnowThiáº¿t bá» váºt lý dùng Äá» di chuyá»n dá»¯ liá»u vào và ra khá»i AWS

AWS Storage GatewayTích há»£p lÆ°u trá»¯ lai

Xem táº¥t cáº£ sáº£n pháº©m

Cung cáº¥p Giáº£i pháp sáng táº¡o cho khách hàng

Chuyá»n Äá»i doanh nghiá»p
Phân tích dá»± Äoán
Machine Learning
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CÁC á»¨NG Dá»¤NG DÀNH CHO DOANH NGHIá»P

Chuyá»n Äá»i doanh nghiá»p
Capital One tÆ° duy láº¡i hoáº¡t Äá»ng ngân hàng báº±ng cách sá» dá»¥ng AWS

Tìm hiá»u xem Capital One Äã thá»±c hiá»n chiáº¿n lÆ°á»£c Äáº§u tiên trên ná»n táº£ng Äám mây thông qua giáo dá»¥c, láºp káº¿ hoáº¡ch dài háº¡n và táºp trung liên tá»¥c vào nhu cáº§u cá»§a khách hàng nhÆ° tháº¿ nào.
Tìm hiá»u thêm

Chú trá»ng vào khách hàng

Vào nÄm 2014, kháº£ nÄng Äám mây riêng cá»§a Capital One váº«n còn sÆ¡ khai và cÅ©ng Äang thá» nghiá»m AWS. Trong ná» lá»±c xây dá»±ng các tính nÄng theo ý muá»n cá»§a khách hàng càng nhanh càng tá»t, công ty Äã chá»n theo Äuá»i AWS.

Thá»±c hiá»n nhá»¯ng pháº§n nan giáº£i trÆ°á»c

Báº£o máºt và tuân thá»§ ráº¥t quan trá»ng Äá»i vá»i Capital One vá»i tÆ° cách là má»t Äá»nh cháº¿ tài chính. Äá» giáº£i quyáº¿t nhá»¯ng nhu cáº§u này, Capital One Äã xây dá»±ng má»t framework rá»§i ro Äám mây và thiáº¿t láºp chá»©c nÄng quáº£n trá» Äám mây trÆ°á»c khi chuyá»n má»t khá»i lÆ°á»£ng công viá»c ÄÆ¡n láº» sang AWS.

Giáo dá»¥c: Chìa khóa cho Äám mây

Capital One cung cáº¥p chÆ°Æ¡ng trình Äào táº¡o trên ná»n táº£ng Äám mây cho các ká»¹ sÆ° làm viá»c trá»±c tiáº¿p trên AWS cÅ©ng nhÆ° các bên liên quan phi ká»¹ thuáºt, nhá»¯ng ngÆ°á»i cáº§n Äáº¿n sá»©c máº¡nh cá»§a Äiá»n toán Äám mây. Công ty hiá»n Äang náº±m trong nhóm ba doanh nghiá»p hàng Äáº§u trên toàn cáº§u vá» sá» lÆ°á»£ng nhân viên náº¯m giá»¯ các chá»©ng chá» AWS.

Nháºn ra lá»£i ích cá»§a Äám mây

Báº±ng viá»c sá» dá»¥ng AWS, Capital One ÄÆ°a sáº£n pháº©m má»i ra thá» trÆ°á»ng trong vài tuáº§n thay vì vài tháng hoáº·c vài nÄm, sá» dá»¥ng machine learning Äá» cáº£i thiá»n tráº£i nghiá»m cá»§a khách hàng và thu hút các nhà phát triá»n và ká»¹ sÆ° hàng Äáº§uâtáº¥t cáº£ Äá»u giúp công ty Äáº¡t ÄÆ°á»£c má»¥c tiêu quan trá»ng nháº¥t: táº¡o ra tráº£i nghiá»m tuyá»t vá»i cho khách hàng.
Phân tích dá»± Äoán
Nhóm Công Thá»©c 1 sá» dá»¥ng Amazon SageMaker Äá» tá»i Æ°u hóa cuá»c Äua

Tìm hiá»u cách Công thá»©c 1 sá» dá»¥ng Amazon SageMaker và các dá»ch vá»¥ AWS khác Äá» tá»i Æ°u hóa các quyáº¿t Äá»nh trong cuá»c Äua và nâng cao tráº£i nghiá»m cá»§a ngÆ°á»i hâm má».

Tìm hiá»u thêm

Báº¯t Äáº§u má»t sá»± chuyá»n Äá»i

Nhóm Công Thá»©c 1 Äang di chuyá»n pháº§n lá»n cÆ¡ sá» háº¡ táº§ng cá»§a há», tá»« các trung tâm dá»¯ liá»u táº¡i chá» sang AWS và chuáº©n hóa trên các dá»ch vá»¥ machine learningâbao gá»m Amazon SageMaker.

Tá»i Æ°u hóa cuá»c Äua vá»i Machine Learning

Báº±ng các dá»¯ liá»u cuá»c Äua thu tháºp tá»« các xe trong suá»t 65 nÄm lá»ch sá», các nhà khoa há»c dá»¯ liá»u cá»§a Công thá»©c 1 Äang huáº¥n luyá»n các mô hình deep learning có thá» ÄÆ°a ra dá»± Äoán cho cuá»c Äua, giúp các Äá»i Äua tá»i Æ°u hóa các quyáº¿t Äá»nh trong cuá»c Äua. Nhá»¯ng mô hình này có thá» dá»± Äoán khi nào các Äá»i nên dá»«ng xe táº¡i pit, quyáº¿t Äá»nh thá»i Äiá»m tá»t nháº¥t Äá» thay lá»p và Äánh giá nÄng lá»±c cá»§a các tay Äua.

ÄÆ°a ngÆ°á»i hâm má» tá»i ÄÆ°á»ng Äua

Công thá»©c 1 sá» dá»¥ng AWS Äá» truyá»n dá»¯ liá»u, phân tích và các dá»ch vá»¥ phÆ°Æ¡ng tiá»n nháº±m Äem láº¡i nhá»¯ng thông tin chuyên sâu vá» các quyáº¿t Äá»nh cá»§a tay Äua và hiá»u suáº¥t xe tá»i hÆ¡n 500 triá»u ngÆ°á»i hâm má» cá»§a há».

Xây dá»±ng cho tÆ°Æ¡ng lai

Vì Công thá»©c 1 thá»±c hiá»n nhá»¯ng khá»i lÆ°á»£ng công viá»c tính toán hiá»u suáº¥t cao trên môi trÆ°á»ng có thá» tùy chá»nh quy mô trên AWS, há» có thá» cáº£i tiáº¿n tráº£i nghiá»m Äua xe Công thá»©c 1, thiáº¿t káº¿ xe và nhiá»u hÆ¡n ná»¯a mà không pháº£i lo vá» công suáº¥t.
Machine Learning
MLB lá»±a chá»n AWS làm nhà cung cáº¥p Machine Learning chính thá»©c

Tìm hiá»u cách liên Äoàn bóng chày chuyên nghiá»p cá»§a Hoa Ká»³ Äem láº¡i ý nghÄ©a tá»« nhá»¯ng con sá» thá»ng kê nhá» sá» dá»¥ng AWS Machine Learning
Tìm hiá»u thêm

Ná»n táº£ng cho Deep Learning

MLB Äã thu tháºp dá»¯ liá»u thá»ng kê tá»« các cáº§u thá»§ và các câu láº¡c bá» tá»« hàng tháºp ká»·, và tá»« nÄm 2015, MLB Äã báº¯t Äáº§u sá» dá»¥ng AWS Äá» thu tháºp cÅ©ng nhÆ° phân phá»i các chá» sá» trong tráºn Äáº¥u Äá» nâng cao tráº£i nghiá»m cá»§a ngÆ°á»i hâm má».

Há» trá»£ các nhà phát triá»n

Qua viá»c sá» dá»¥ng Amazon SageMaker, MLB há» trá»£ các nhà phát triá»n và nhà khoa há»c dá»¯ liá»u cá»§a há» nhanh chóng và dá» dàng xây dá»±ng, Äào táº¡o và triá»n khai các mô hình machine learning á» quy mô lá»n.

Giáº£m nháº¹ gánh náº·ng

Nhá»¯ng mô hình này giúp MLB loáº¡i bá» nhá»¯ng quy trình thá»§ công, tá»n thá»i gian trong công viá»c liên quan tá»i lÆ°u giá»¯ thông sá» và sá» liá»u, nhÆ° lÆ°u tá» sá», ghi láº¡i các ghi chép trong tráºn Äáº¥u và phân loáº¡i các kiá»u ném bóng.

Cá nhân hóa tráºn Äáº¥u

MLB Äã lên káº¿ hoáº¡ch há»£p tác cùng Amazon ML Solutions Lab Äá» tiáº¿p tá»¥c cáº£i thiá»n Statcast â công nghá» theo dõi phân tích phong Äá» cá»§a cáº§u thá»§ â trong Äó bao gá»m thá» nghiá»m Äá» chính xác cá»§a các dá»± Äoán ném bóng và táº¡o nên nhá»¯ng tráº£i nghiá»m ngÆ°á»i xem Äã ÄÆ°á»£c cá nhân hóa.

Cú home run vá»i trí tuá» nhân táº¡o

MLB sáº½ tiáº¿p tá»¥c cáº£i tiáº¿n báº±ng cách sá» dá»¥ng trí tuá» nhân táº¡o. Liên Äoàn dá»± Äá»nh sáº½ sá» dá»¥ng Amazon Comprehend Äá» xây dá»±ng má»t mô hình ngôn ngá»¯ có thá» viáº¿t ká»ch báº£n cho nhá»¯ng tráºn Äáº¥u trá»±c tiáº¿p, báº¯t chÆ°á»c theo nhá»¯ng bình luáºn viên kinh Äiá»n.
SERVERLESS
Matson sá» dá»¥ng AWS Äá» Äiá»u hành công viá»c giao nháºn và váºn chuyá»n hàng toàn cáº§u

Tìm hiá»u cách Matson sá» dá»¥ng AWS Äá» thúc Äáº©y Äá»t phá và dá»ch vá»¥ chÄm sóc khách hàng tiêu chuáº©n tháº¿ giá»i, mà váº«n có thá» hoáº¡t Äá»ng á»n Äá»nh, báº£o máºt cao và tiáº¿t kiá»m chi phí cÆ¡ sá» háº¡ táº§ng.
Tìm hiá»u thêm

Theo dõi Container thá»i gian thá»±c

Matson xây dá»±ng má»t á»©ng dá»¥ng di Äá»ng chá»§ lá»±c Äá» theo dõi container trên toàn cáº§u, cho phép khách hàng theo dõi quá trình váºn chuyá»n hàng cá»§a há» theo thá»i gian thá»±c. Các tính nÄng há»¯u ích khác cá»§a á»©ng dá»¥ng là tÆ°Æ¡ng tác tìm lá»ch tàu, tra báº£n Äá» cáº£ng theo vá» trí và hình áº£nh camera trá»±c tiáº¿p quay cá»ng.

Truy cáºp tá»« thiáº¿t bá» di Äá»ng

Táº¥t cáº£ các thiáº¿t bá» di Äá»ng truy cáºp AWS thông qua Amazon API Gateway. API này cho phép các thiáº¿t bá» Äiá»m cuá»i náº±m ngoài biên có Äá» kháº£ dá»¥ng cao truy cáºp vào các tài nguyên trong Äám mây riêng áº£o có sáºµn cá»§a Matson.

Äiá»n toán serverless

Các chá»©c nÄng cá»§a AWS Lambda ÄÆ°á»£c thiáº¿t káº¿ báº±ng máº«u các vi dá»ch vá»¥ và dá»±a theo các tình huá»ng kinh doanh dá»±a trên Äiá»u kiá»n hàng háº£i cá»¥ thá», ví dá»¥ nhÆ° theo dõi váºn chuyá»n và lá»ch tàu thuyá»n.

Cáº¥u hình cÆ¡ sá» dá»¯ liá»u và lÆ°u trá»¯

Amazon DynamoDB quáº£n lý cáº¥u hình cÅ©ng nhÆ° cáº¥u hình pháº£n há»i cá»§a ngÆ°á»i dùng và thông báo pháº£n há»i cá»§a ngÆ°á»i dùng ÄÆ°á»£c gá»i tá»« các thiáº¿t bá» di Äá»ng. DynamoDB Streams cung cáº¥p thông báo thá»i gian thá»±c tá»i Äá»i ngÅ© chÄm sóc khách hàng cá»§a Matson.

Giám sát dá»¯ liá»u và cáº£nh báo

Các khách hàng cá»§a Matson trông cáºy vào thông tin tình tráº¡ng tàu thuyá»n và thông tin theo dõi container chính xác, cáºp nháºt liên tá»¥c sau má»i phút. Chá»©c nÄng giám sát và cáº£nh báo cá»§a các sá»± kiá»n há» thá»ng ÄÆ°á»£c xây dá»±ng tá»« Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda và CloudWatch Logs.

á»¨ng dá»¥ng Serverless End-to-End

Hiá»n táº¡i Matson có thá» cung cáº¥p cho khách hàng á»©ng dá»¥ng serverless end-to-end Äá» trá»£ giúp theo dõi tiáº¿n Äá» váºn chuyá»n hàng và á»©ng dá»¥ng này không có cÆ¡ sá» háº¡ táº§ng Äá» duy trì.
Trò chÆ¡i
Epic Games sá» dá»¥ng AWS Äá» gia tÄng sá»©c máº¡nh cho trò chÆ¡i Fortnite trên toàn tháº¿ giá»i

Tìm hiá»u Epic Games sá» dá»¥ng AWS Äá» phân phá»i trò chÆ¡i Fortnite Äáº¿n hÆ¡n 200 triá»u ngÆ°á»i chÆ¡i trên toàn tháº¿ giá»i nhÆ° tháº¿ nào.

Tìm hiá»u thêm

Xây dá»±ng má»t ná»n táº£ng trên Äám mây

Epic Games Äã sá» dá»¥ng AWS tá»« nÄm 2012 và hiá»n sá» dá»¥ng táº¥t cáº£ dá»ch vá»¥ trên Äám mây AWS, váºn hành nhóm máy chá»§ trò chÆ¡i trên toàn tháº¿ giá»i, há» thá»ng ná»n táº£ng phá»¥ trá»£, cÆ¡ sá» dá»¯ liá»u, các trang web, quy trình phân tích và há» thá»ng xá» lý trên AWS.

Cú Äá»t phá vá» thành công

NÄm 2017, Epic Games Äã cho ra máº¯t Fortnite, má»t trò chÆ¡i Äa ná»n táº£ng, Äa ngÆ°á»i chÆ¡i Äã trá» thành cú Äá»t phá vá» thành công. Trong nÄm Äáº§u tiên, sá» lÆ°á»£ng ngÆ°á»i dùng cá»§a Fortnite tÄng hÆ¡n 100 láº§n lên Äáº¿n 200 triá»u ngÆ°á»i chÆ¡i trên toàn tháº¿ giá»i.

Tiáº¿n gáº§n Äáº¿n các giá»i háº¡n vá» quy mô

AWS là Äiá»u không thá» thiáº¿u cho sá»± thành công cá»§a Fortnite. Báº±ng viá»c sá» dá»¥ng AWS, Epic Games tá» chá»©c các sá»± kiá»n trong trò chÆ¡i vá»i hàng trÄm triá»u ngÆ°á»i dùng ÄÆ°á»£c má»i mà không cáº§n lo láº¯ng vá» dung lÆ°á»£ng, thu náº¡p 125 triá»u sá»± kiá»n má»i phút vào quy trình phân tích cá»§a mình và xá» lý sá»± tÄng trÆ°á»ng cá»§a kho dá»¯ liá»u hÆ¡n 5 PB má»i tháng.

Mang Äáº¿n tráº£i nghiá»m trò chÆ¡i tá»t nháº¥t

Báº±ng viá»c sá» dá»¥ng AWS, Epic Games luôn cáº£i thiá»n tráº£i nghiá»m cá»§a ngÆ°á»i chÆ¡i Äá»ng thá»i cung cáº¥p các trò chÆ¡i và yáº¿u tá» trò chÆ¡i má»i láº¡, thú vá». Công ty có káº¿ hoáº¡ch má» rá»ng sá» dá»¥ng các dá»ch vá»¥ AWS trong tÆ°Æ¡ng lai, bao gá»m machine learning và các dá»ch vá»¥ có trong container.
CÁC á»¨NG Dá»¤NG DÀNH CHO DOANH NGHIá»P
BP cáº£i thiá»n hiá»u quáº£ và cung cáº¥p cho các á»©ng dá»¥ng kinh doanh quan trá»ng cá»§a há» sá»± linh hoáº¡t trong giá thành cùng tá»c Äá» nhanh.

Tìm hiá»u cách BP ÄÆ¡n giáº£n hóa và hiá»n Äáº¡i hóa bá» á»©ng dá»¥ng SAP cá»§a há», cáº£i thiá»n tráº£i nghiá»m ngÆ°á»i dùng mà váº«n Äáº¡t ÄÆ°á»£c sá»± linh hoáº¡t trong giá thành cÅ©ng nhÆ° nâng cao hiá»u nÄng.
Tìm hiá»u thêm

Quáº£n lý các á»©ng dá»¥ng kinh doanh quan trá»ng

Äá»i ngÅ© CNTT cá»§a BP quáº£n lý các á»©ng dá»¥ng SAP Äang ÄÆ°á»£c sá» dá»¥ng bá»i hàng nghìn nhân viên trên toàn tháº¿ giá»i trong chuá»i cung á»©ng, thu mua, tài chính, v.v.

Cáº£i thiá»n tá»c Äá» và linh hoáº¡t vá» giá

Äá» cáº£i thiá»n tá»c Äá» và nâng cao sá»± linh hoáº¡t vá» giá thành, BP sá» dá»¥ng Amazon EC2 Äá» di chuyá»n nhá»¯ng á»©ng dá»¥ng kinh doanh cá»t lõi lên Äám mây. Thêm vào Äó, Äá»i ngÅ© CNTT cÅ©ng Äã xây dá»±ng các phiên báº£n X1 EC2 Äá» má» rá»ng quy mô và cá»§ng cá» nhá»¯ng phân tích thá»i gian thá»±c cá»§a há».

TÄng hiá»u suáº¥t

Giá» Äây, Äá»i ngÅ© CNTT có thá» cung cáº¥p há» thá»ng theo nhu cáº§u chá» trong vài giá», thay vì pháº£i máº¥t nhiá»u tuáº§n hoáº·c nhiá»u tháng. BP Äang ÄÆ°á»£c chá»©ng kiáº¿n sá»± tÄng trÆ°á»ng vá» hiá»u suáº¥t trên má»i máº·t, bao gá»m cáº£ sá»± cáº£i thiá»n tá»c Äá» tá»i 40% cho há» thá»ng Lubricants ERP cá»§a há».

Báº£o máºt dá»¯ liá»u

Vì pháº£i di chuyá»n lên Äám mây, BP Äã tái láºp láº¡i nhá»¯ng tiêu chuáº©n báº£o máºt cá»§a há» báº±ng cách sá» dá»¥ng AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch và AWS Trusted Advisor. Nhá»¯ng tiêu chuáº©n má»i này Äã giúp BP có thá» phát triá»n má»t framework báº£o máºt Äá» Äiá»u hành tá» chá»©c CNTT cá»§a há».

Tìm kiáº¿m. Mua sáº¯m. Triá»n khai.

AWS Marketplace là danh má»¥c ká»¹ thuáºt sá» vá»i danh sách hàng nghìn sáº£n pháº©m tá»« các nhà cung cáº¥p pháº§n má»m Äá»c láºp Äá» giúp dá» dàng tìm kiáº¿m, thá» nghiá»m, mua sáº¯m và triá»n khai pháº§n má»m cháº¡y trên AWS.

Tìm hiá»u thêm

Khám phá Giáº£i pháp cá»§a chúng tôi

Machine Learning

Xây dá»±ng báº±ng các dá»ch vá»¥ và ná»n táº£ng máº¡nh máº½, và sá»± há» trá»£ cá»§a há» thá»ng khung machine learning rá»ng lá»n nháº¥t á» báº¥t cá»© nÆ¡i nào.

Tìm hiá»u thêm

Phân tích và kho dá»¯ liá»u

LÆ°u trá»¯, phân loáº¡i và phân tích má»t cách báº£o máºt toàn bá» dá»¯ liá»u cá»§a báº¡n trong má»t kho lÆ°u trá»¯ táºp trung.

Tìm hiá»u thêm

Internet of Things

Má»t há» thá»ng các thiáº¿t bá» có máº·t kháº¯p nÆ¡i káº¿t ná»i tháº¿ giá»i thá»±c vá»i Äám mây.

Tìm hiá»u thêm

Äiá»n toán serverless

Dá»±ng và cháº¡y á»©ng dá»¥ng và dá»ch vá»¥ mà không cáº§n pháº£i báºn tâm Äáº¿n máy chá»§.

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Containers

Äóng gói và triá»n khai á»©ng dá»¥ng háº¡ng nháº¹ và cung cáº¥p môi trÆ°á»ng pháº§n má»m á»n Äá»nh, di Äá»ng Äá» có thá» cháº¡y á»©ng dá»¥ng má»t cách dá» dàng và vá»i quy mô lá»n á» báº¥t cá»© nÆ¡i nào.

Tìm hiá»u thêm

á»¨ng dá»¥ng dành cho doanh nghiá»p

Xây dá»±ng báº±ng má»t táºp há»£p các dá»ch vá»¥ hoàn thiá»n ÄÆ°á»£c thiáº¿t káº¿ riêng cho các yêu cáº§u báº£o máºt, tuân thá»§, riêng tÆ° và quáº£n trá» Äáº·c thù cá»§a các tá» chá»©c lá»n.

Tìm hiá»u thêm

LÆ°u trá»¯

Các lá»±a chá»n có Äá» bá»n cao, tiáº¿t kiá»m chi phí Äá» sao lÆ°u, phá»¥c há»i sau tháº£m há»a và lÆ°u trá»¯ dá»¯ liá»u á» quy mô petabyte.

Tìm hiá»u thêm

Khá»i lÆ°á»£ng công viá»c trên Windows

Công suáº¥t Äiá»n toán có quy mô linh hoáº¡t cho các á»©ng dá»¥ng Microsoft. Dá» dàng quáº£n lý và báº£o máºt khá»i lÆ°á»£ng công viá»c trên Windows.

Tìm hiá»u thêm

Xem táº¥t cáº£ giáº£i pháp

ÄÆ°á»£c xây dá»±ng Äá» Äáp á»©ng nhá»¯ng yêu cáº§u kháº¯t khe nháº¥t

Báº£o máºt

Kháº£ nÄng báº£o máºt toàn diá»n Äá» Äáp á»©ng các yêu cáº§u kháº¯t khe nháº¥t.

Tuân thá»§

Kháº£ nÄng kiá»m soát Äa dáº¡ng, nhiá»u chá»©ng nháºn kiá»m toán và báº£o máºt ÄÆ°á»£c áp dá»¥ng rá»ng rãi.

Lai

Xây dá»±ng kiáº¿n trúc lai giúp má» rá»ng cÆ¡ sá» háº¡ táº§ng táº¡i chá» cá»§a báº¡n lên Äám mây.

Có kháº£ nÄng má» rá»ng

Truy cáºp tùy theo nhu cáº§u cá»§a báº¡n, tÄng và giáº£m quy mô theo yêu cáº§u vá»i thông báo chá» trong vài phút.

Tìm hiá»u cách khách hàng cá»§a chúng tôi xây dá»±ng trên AWS

Xem táº¥t cáº£ các câu chuyá»n khách hàng

Máº¡ng toàn cáº§u cá»§a các Khu vá»±c AWS

Äám mây AWS tráº£i rá»ng trên 61 Vùng sáºµn sàng táº¡i 20 khu vá»±c Äá»a lý trên kháº¯p tháº¿ giá»i, vá»i các káº¿ hoáº¡ch Äã thông báo cho thêm 12 Vùng sáºµn sàng và thêm bá»n Khu vá»±c AWS khác táº¡i Bahrain, Cape Town, Äáº·c khu hành chính Há»ng Kông và Milan.

Khu vá»±c và sá» lÆ°á»£ng vùng sáºµn sàng

Miá»n Äông Hoa Ká»³
Báº¯c Virginia (6), Ohio (3)

Miá»n Tây Hoa Ká»³
Phía Báº¯c California (3), Oregon (4)

Châu Á Thái Bình DÆ°Æ¡ng
Mumbai (2), Seoul (2), Singapore (3), Sydney (3), Tokyo (4), khu vá»±c Osaka (1)

Canada
Miá»n Trung (2)

Trung Quá»c
Báº¯c Kinh (3), Ninh Háº¡ (2)

Châu Âu
Frankfurt (3), Ai-len (3), London (3), Paris (3), Stockholm (3)

Nam Má»¹
São Paulo (3)

GovCloud (US)
Miá»n Äông Hoa Ká»³ (3), Miá»n Tây Hoa Ká»³ (3)

Khu vá»±c má»i (Sáº¯p triá»n khai)

Bahrain

Cape Town

Äáº·c khu hành chính Há»ng Kông

Milan

Tìm hiá»u thêm

Báo cáo tá»« chuyên gia phân tích

Äá»c Äá» xem các tá» chá»©c phân tích hàng Äáº§u nhÆ° Gartner và IDC nháºn xét vá» AWS nhÆ° tháº¿ nào

Äào táº¡o AWS

Tài nguyên theo yêu cáº§u Äá» giúp báº¡n phát triá»n ká»¹ nÄng cá»§a mình

Máº¡ng lÆ°á»i Äá»i tác AWS

Tham gia Máº¡ng lÆ°á»i Äá»i tác AWS Äá» xây dá»±ng và phát triá»n hoáº¡t Äá»ng kinh doanh trên Äám mây cá»§a báº¡n

AWS Marketplace

Khá»i cháº¡y nhiá»u pháº§n má»m thông dá»¥ng khác nhau trên AWS trong vài phút

#####EOF##### Applied Network Security Monitoring: Collection, Detection, and Analysis: Chris Sanders, Jason Smith: 8601405645487: Amazon.com: Books

Applied Network Security Monitoring and millions of other books are available for Amazon Kindle. Learn more

Applied Network Security Monitoring: Collection, Detection, and Analysis 1st Edition

by Chris Sanders (Author), Jason Smith (Author)

35 customer reviews

ISBN-13: 978-0124172081

ISBN-10: 0124172083

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Applied Network Security MonitoringÂ is the essential guide to becoming an NSM analyst from the ground up. This book takes a fundamental approach, complete with real-world examples that teach you the key concepts of NSM.Â

Network security monitoring is based on the principle that prevention eventually fails. In the current threat landscape, no matter how much you try, motivated attackers will eventually find their way into your network. At that point, your ability to detect and respond to that intrusion can be the difference between a small incident and a major disaster.

The book follows the three stages of the NSM cycle: collection, detection, and analysis. As you progress through each section, you will have access to insights from seasoned NSM professionals while being introduced to relevant, practical knowledge that you can apply immediately.

Discusses the proper methods for planning and executing an NSM data collection strategy
Provides thorough hands-on coverage of Snort, Suricata, Bro-IDS, SiLK, PRADS, and more
The first book to define multiple analysis frameworks that can be used for performing NSM investigations in a structured and systematic manner
Loaded with practical examples that make use of the Security Onion Linux distribution
Companion website includes up-to-date blogs from the authors about the latest developments in NSM, complete with supplementary book materials

If you've never performed NSM analysis,Â Applied Network Security MonitoringÂ will help you grasp the core concepts needed to become an effective analyst. If you are already working in an analysis role, this book will allow you to refine your analytic technique and increase your effectiveness.

You will get caught off guard, you will be blind sided, and sometimes you will lose the fight to prevent attackers from accessing your network. This book is about equipping you with the right tools for collecting the data you need, detecting malicious activity, and performingÂ the analysis that will help you understand the nature of an intrusion. Although prevention can eventually fail, NSM doesn't have to.

** Note: All author royalties from the sale of Applied NSM are being donated to a number of charities selected by the authors.

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Editorial Reviews

Review

"... an extremely informative dive into the realm of network security data collection and analysis...well organized and thought through...I have only positive comments from my study." -The Ethical Hacker Network, Oct 31, 2014

About the Author

Chris Sanders is an information security consultant, author, and researcher originally from Mayfield, Kentucky. That's thirty miles southwest of a little town called Possum Trot, forty miles southeast of a hole in the wall named Monkey's Eyebrow, and just north of a bend in the road that really is named Podunk.
Â
Chris is a Senior Security Analyst with InGuardians. He has as extensive experience supporting multiple government and military agencies, as well as several Fortune 500 companies. In multiple roles with the US Department of Defense, Chris significantly helped to further to role of the Computer Network Defense Service Provider (CNDSP) model, and helped to create several NSM and intelligence tools currently being used to defend the interests of the nation.
Â
Chris has authored several books and articles, including the international best seller "Practical Packet Analysis" form No Starch Press, currently in its second edition. Chris currently holds several industry certifications, including the SANS GSE and CISSP distinctions.
Â
In 2008, Chris founded the Rural Technology Fund. The RTF is a 501(c)(3) non-profit organization designed to provide scholarship opportunities to students form rural areas pursuing careers in computer technology. The organization also promotes technology advocacy in rural areas through various support programs. The RTF has provided thousands of dollars in scholarships and support to rural students.
Â
When Chris isn't buried knee-deep in packets, he enjoys watching University of Kentucky Wildcat basketball, being a BBQ Pitmaster, amateur drone building, and spending time at the beach. Chris currently resides in Charleston, South Carolina with his wife Ellen.
Â
Chris blogs at appliednsm.com and chrissanders.org. He is on Twitter as @chrissanders88.

Paperback: 496 pages
Publisher: Syngress; 1 edition (December 19, 2013)
Language: English
ISBN-10: 0124172083
ISBN-13: 978-0124172081
Product Dimensions: 7.5 x 1.1 x 9.2 inches
Shipping Weight: 2.3 pounds (View shipping rates and policies)
Average Customer Review: 35 customer reviews
Amazon Best Sellers Rank: #64,134 in Books (See Top 100 in Books)
- #23 in Computer Networks
- #63 in Computer Networking (Books)
- #65 in Computer Network Security

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Michael Atkins

Must Have For Network Security Monitors

September 1, 2017

Format: Kindle EditionVerified Purchase

Chris Sanders knows his stuff. This is by far one of the best books I've read on this subject. Very thorough and indepth yet presented in a way that makes it easy to grasp the material. You will have a firm grasp of network security monitoring after reading this book.

2 people found this helpful

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Chandler White

I can tell it's a good book, however

January 28, 2018

Format: PaperbackVerified Purchase

I can tell it's a good book, however, not friendly to beginners. Very early on in the book it states that it doesn't teach networking basics. Should've known better, but definitely not downgrading the book! Just a personal mistake that I made and I don't want you to do the same!

3 people found this helpful

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KEVIN M NOBLE

An excelent foundational book covering the essentials

March 28, 2014

Format: Kindle EditionVerified Purchase

Most enterprises split (as covered in the book) NSM into tiers up to three. This book will assist anyone just getting in the field and help with foundational processes to unlock tier 2. Coverage of monitoring tools is spot on and does a decent job of proposing monitoring strategies. The book recommends good habits such as keeping an analyst journal and takes the perspective of an operator in the trenches.

Would have liked to read about some novel approaches that leverage monitoring or, techniques to automate the most routine tasks but overall the book is an excellent desktop reference and guidance to NSM by analyst, for analyst.

4 people found this helpful

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@infosec_dude

Highly recommended.

March 18, 2018

Format: Kindle EditionVerified Purchase

This is the book that started it all for me. If you are an MSSP and you are trying to get the hang of the whole security thing this books is for you. While content is somewhat outdated this book teaches you how to think and how to get you SOC going. Highly recommended.

One person found this helpful

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Thor

A must read for everyone working (or planning to work) ...

May 26, 2015

Format: PaperbackVerified Purchase

A must read for everyone working (or planning to work) to protect an operational network. Filled with practical advice in building fundamental skills and solutions in environments with constrained budgets.

2 people found this helpful

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John R. Cornell II

Great book, highly recommended, a little long winded

April 20, 2017

Format: PaperbackVerified Purchase

The good:
Applied NSM is a good book to read to learn about this topic. The author knows his stuff, and he's a pretty good teacher. Technical terms are defined before they're used, so you won't get lost. Everything is approached step-by-step, you won't run into the Draw An Owl Meme (google it) problem. Also the text is comprehensive, important topics are not left out.

Who the book is written for:
I'm a network administrator with over a decade of experience, I manage a decent sized network by myself, and wanted more knowledge about this area of network security. The book is more aimed at, "I have a beginners level knowledge of networks and I want to get hired somewhere where my job title is "Network Security Analyst". So the explanations are woven with the thread of a team in mind, but not in a way that detracts from your ability to learn if you're a lone wolf.

The bad:
I wish I could give the book 4.5 stars. The only problem I ran into is that for my taste, which is borne out of decades of reading technical documentation, the author is a bit long winded. It's not terse enough. Explanations that could be offered in one short sentence are drawn out into a paragraph. I suppose this is good if you're a complete beginner, but it made the text a big of a slog for me, and I found myself skipping first paragraphs and then pages.

For example, suppose I wanted to communicate to you this brief and technical point: "The lsof command prints a list of open files, the -i argument lists network connections." The author would render that into this:

"Various commands are able to display the current status of the computer. From time to time, users may want the ability to view which files on the computer are open and which files are not. Fortunately, the computer provides a tool that is able to do this. If you want to view open files on the computer, for example, you can use the lsof command, which is typed into your terminal. The lsof command provides various options as well in order to change its output. For example, -i is one of the available options. -i allows lsof to view the activity of the network interface in the form of active and listening connections."

Overall, though, if you're a beginner and you want knowledge on this topic, this book will give it to you.

2 people found this helpful

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Mr. M

Chris and Team have created an excellent and quality NSM source!

January 17, 2014

Format: PaperbackVerified Purchase

Highly recommended! Applied NSM should be in every security professional's bookshelf. Not only does it cover effective security monitoring methodologies and best practices, but walks you through from tool selection, installation, configuration, and maintenance.

Overall, the book is very well written and carefully articulated; it almost leaves you without having to question or second guess the information provided. It just makes sense!

2 people found this helpful

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Ryan Stillions

Great book on Network Security Monitoring

February 2, 2014

Format: Kindle EditionVerified Purchase

Disclaimers:
Iâm a long time NSM practitioner and I work with Smith & Bianco.
Chris was gracious enough to provide me with a PDF copy of the book for review.
- - - -

Applied NSM is a powerhouse of practitioner knowledge. Divided into three primary sections (Collection, Detection, & Analysis) ANSM focuses on the key staples necessary for establishing a successful NSM program and how to get up and running.

The book weighs in at an impressive 465 pages (including appendixes). However, depending on the readers familiarity with NSM and exposure to other related works on the subject, there could be some overlap.

The areas I found most valuable that contributed new concepts to my âNSM library" included:

Chapter 2âs discussion on the Applied Collection Framework
Chapter 4âs coverage of SiLK for analysis of flow data
Chapter 6âs coverage of LogStash and Kibana
Chapter 10âs coverage on Bro
Chapter 11âs coverage on Anomaly based detection via SiLK tools
Appendix 3 makes for a handy desk side reference if you work with raw packet captures on a daily basis.

For these sections alone, ANSM makes it well worth the purchase and addition to your collection. Speaking of which, all of the proceeds from this book go to several charities, and after having initially reviewed it for free, I still decided to purchase a copy on Kindle to have as a desk side reference and support such great causes.

Great job guys!

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#####EOF#####

#####EOF##### í´ë¼ì°ë ìë¹ì¤ | í´ë¼ì°ë ì»´í¨í ìë£¨ì| Amazon Web Services

Lightsail

ì ë ´íê³ ìì¸¡ ê°ë¥í ê°ê²©ì¼ë¡ AWSìì ììíë ë° íìí ëª¨ë ê²

Amazon DynamoDB

ìë²ë¦¬ì¤ ì íë¦¬ì¼ì´ì ê°ë°

110,000ê° ì´ìì ë°ì´í°ë² ì´ì¤ê° AWSë¡ ë§ì´ê·¸ë ì´ì

AWS ì í ì´í´ë³´ê¸°

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Amazon CloudSearchê´ë¦¬í ê²ì ìë¹ì¤

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Amazon Kinesisì¤ìê° ë¹ëì¤ ë° ë°ì´í° ì¤í¸ë¦¼ ë¶ì

Amazon Managed Streaming for Kafkaìì ê´ë¦¬í Apache Kafka ìë¹ì¤

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AWS Glueë°ì´í° ì¤ë¹ ë° ë¡ë

AWS Lake Formationë©°ì¹ ë§ì ìì í ë°ì´í° ë ì´í¬ êµ¬ì¶

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AWS Step Functionsë¶ì° ì íë¦¬ì¼ì´ìì ìí ì¡°ì

Amazon MQActiveMQì© ê´ë¦¬í ë©ìì§ ë¸ë¡ì»¤

Amazon Simple Notification Service(SNS)ê²ì/êµ¬ëì© ê´ë¦¬í ë©ìì§ ì£¼ì

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Amazon Sumerianì¦ê°íì¤ ë° ê°ìíì¤ ì íë¦¬ì¼ì´ìì êµ¬ì¶ ë° ì¤í

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AWS ìì°ì¬ì©ì ì§ì ë¹ì© ë° ì¬ì© ìì°ì ì¤ì

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Amazon Managed Blockchainíì¥ ê°ë¥í ë¸ë¡ì²´ì¸ ë¤í¸ìí¬ë¥¼ ìì± ë° ê´ë¦¬

Amazon QLDB(Quantum Ledger Database)ìì ê´ë¦¬í ìì¥ ë°ì´í°ë² ì´ì¤

ë¹ì¦ëì¤ ì íë¦¬ì¼ì´ì

Alexa for BusinessAlexaë¡ ì¡°ì§ì ìë ê°í

Amazon Chimeí¸ë¦¬í íì, íì íµí ë° ì±í

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Amazon Elastic Container RegistryDocker ì´ë¯¸ì§ ì ì¥ ë° ê²ì

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Amazon Elastic Container Service for KubernetesAWSìì ê´ë¦¬í Kubernetes ì¤í

Amazon Lightsailê°ì íë¼ì´ë¹ ìë² ìì ë° ê´ë¦¬

AWS Batchê·ëª¨ì ìê´ìì´ ë°°ì¹ ìì ì¤í

AWS Elastic Beanstalkì¹ ì± ì¤í ë° ê´ë¦¬

AWS Fargateìë² ëë í´ë¬ì¤í°ë¥¼ ê´ë¦¬í íì ìì´ ì»¨íì´ë ì¤í

AWS Lambdaìë²ì ëí ê±±ì ìì´ ì½ë ì¤í

AWS OutpostsAWS ì¸íë¼ë¥¼ ì¨íë ë¯¸ì¤ìì ì¤í

AWS Serverless Application Repositoryìë²ë¦¬ì¤ ì íë¦¬ì¼ì´ìì ê²ì, ë°°í¬ ë° ê²ì

Elastic Load Balancing(ELB)ìì í¸ëí½ì ì¬ë¬ ëìì ê±¸ì³ ë¶ì°

VMware Cloud on AWSì¬ì©ì ì§ì íëì¨ì´ ìì´ íì´ë¸ë¦¬ë í´ë¼ì°ë êµ¬ì¶

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Amazon Connectí´ë¼ì°ë ê¸°ë° ì½ ì¼í° ìë¹ì¤

Amazon Pinpointì±ë ì ì²´ìì ì¬ì©ì ì°¸ì¬ ê°ì¸í

Amazon Simple Email Service(SES)ì´ë©ì¼ ì¡ìì

ë°ì´í°ë² ì´ì¤

Amazon Auroraê³ ì±ë¥ ê´ë¦¬íì ê´ê³í ë°ì´í°ë² ì´ì¤

Amazon DynamoDBê´ë¦¬í NoSQL ë°ì´í°ë² ì´ì¤

Amazon DocumentDB(MongoDB í¸í)ìì ê´ë¦¬í ë¬¸ì ë°ì´í°ë² ì´ì¤

Amazon ElastiCacheì¸ ë©ëª¨ë¦¬ ìºì± ìì¤í

Amazon Neptune ìì ê´ë¦¬í ê·¸ëí ë°ì´í°ë² ì´ì¤ ìë¹ì¤

Amazon Quantum Ledger Database(QLDB)ìì ê´ë¦¬í ìì¥ ë°ì´í°ë² ì´ì¤

Amazon RDSMySQL, PostgreSQL, Oracle, SQL Server ë° MariaDBë¥¼ ìí ê´ë¦¬íì ê´ê³í ë°ì´í°ë² ì´ì¤ ìë¹ì¤

Amazon RDS on VMwareì¨íë ë¯¸ì¤ ë°ì´í°ë² ì´ì¤ ê´ë¦¬ ìëí

Amazon Timestreamìì ê´ë¦¬í ìê³ì´ ë°ì´í°ë² ì´ì¤

AWS Database Migration Serviceìµìíì ê°ë ì¤ë¨ì¼ë¡ ë°ì´í°ë² ì´ì¤ ë§ì´ê·¸ë ì´ì

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AWS CodeStarAWS ì íë¦¬ì¼ì´ì ê°ë° ë° ë°°í¬

Amazon Correttoíë¡ëìì© OpenJDK ë°°í¬

AWS Cloud9í´ë¼ì°ë IDEìì ì½ë ìì±, ì¤í ë° ëë²ê¹

AWS CodeBuildì½ë ë¹ë ë° íì¤í¸

AWS CodeCommitíë¼ì´ë¹ Git ë¦¬í¬ì§í ë¦¬ì ì½ë ì ì¥

AWS CodeDeployì½ë ë°°í¬ ìëí

AWS CodePipelineì§ìì ì ë¨ì ì¬ì©í ìíí¸ì¨ì´ ë¦´ë¦¬ì¤

AWS ëêµ¬ ë° SDKAWSì ëêµ¬ ë° SDK

AWS X-Rayì íë¦¬ì¼ì´ì ë¶ì ë° ëë²ê¹

ìµì¢ ì¬ì©ì ì»´í¨í

Amazon AppStream 2.0ë°ì¤í¬í± ì íë¦¬ì¼ì´ìì ìì íê² ë¸ë¼ì°ì ë¡ ì¤í¸ë¦¬ë°

Amazon WorkDocsìì í ìí°íë¼ì´ì¦ ë¬¸ì ì¤í ë¦¬ì§ ë° ê³µì

Amazon WorkSpacesí´ë¼ì°ëììì ê°ì ë°ì¤í¬í±

ê²ì ê¸°ì

Amazon GameLiftê°ë¨íê³ ë¹ ë¥´ë©° ë¹ì© í¨ì¨ì ì¸ ì ì© ê²ì ìë² í¸ì¤í

Amazon LumberyardAWS ë° Twitchì íµí©ë í¬ë¡ì¤íë«í¼ 3D ê²ì ìì§ì¼ë¡ ì ì²´ ìì¤ê¹ì§ ë¬´ë£ë¡ ì ê³µ

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AWS IoT Coreëë°ì´ì¤ë¥¼ í´ë¼ì°ëì ì°ê²°

Amazon FreeRTOSë§ì´í¬ë¡ ì»¨í¸ë¡¤ë¬ì© IoT ì´ì ì²´ì

AWS Greengrassëë°ì´ì¤ë¥¼ ìí ë¡ì»¬ ì»´í¨í, ë©ìì§ ë° ëê¸°í

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AWS IoT AnalyticsIoT ëë°ì´ì¤ì ëí ë¶ì

AWS IoT Buttoní´ë¼ì°ë íë¡ê·¸ëë° ê°ë¥í ëì ë²í¼

AWS IoT Device DefenderIoT ëë°ì´ì¤ì ë³´ì ê´ë¦¬

AWS IoT Device ManagementIoT ëë°ì´ì¤ë¥¼ ì¨ë³´ë©, ì¡°ì§í ë° ìê²©ì¼ë¡ ê´ë¦¬

AWS IoT EventsIoT ì´ë²¤í¸ ê°ì§ ë° ëì

AWS IoT SiteWiseIoT ë°ì´í° ìì§ê¸° ë° ì¸í°íë¦¬í°

AWS IoT Things Graphëë°ì´ì¤ ë° ì¹ ìë¹ì¤ë¥¼ ìì½ê² ì°ê²°

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ê¸°ê³ íìµ

Amazon SageMakerê¸°ê³ íìµ ëª¨ë¸ì ëê·ëª¨ë¡ êµ¬ì¶, íë ¨ ë° ë°°í¬

Amazon Comprehendíì¤í¸ìì íµì°°ë ¥ íë³´ ë° ê´ê³ íì

Amazon Elastic Inferenceë¥ ë¬ë ì¶ë¡ ê°ìí

Amazon Forecastê¸°ê³ íìµì ì¬ì©íì¬ ìì¸¡ ì íë ê°ì

Amazon Lexìì± ë° íì¤í¸ ì±ë´ êµ¬ì¶

Amazon Personalizeì íë¦¬ì¼ì´ìì ì¤ìê° ì¶ì² ê¸°ë¥ì êµ¬ì¶

Amazon Pollyíì¤í¸ë¥¼ ììí ìì±ì¼ë¡ ë³í

Amazon Rekognitionì´ë¯¸ì§ ë° ë¹ëì¤ ë¶ì

Amazon SageMaker Ground Truthì íí ML êµì¡ ë°ì´í° ì¸í¸ êµ¬ì¶

Amazon Textractë¬¸ììì íì¤í¸ì ë°ì´í° ì¶ì¶

Amazon Translateìì°ì¤ë½ê³ ì ì°½í ì¸ì´ ë²ì

Amazon Transcribeìë ìì± ì¸ì

AWS Deep Learning AMIAmazon EC2 ê¸°ë° ë¥ ë¬ë

AWS DeepLensë¥ ë¬ëì ì¬ì©íë ë¹ëì¤ì¹´ë©ë¼

AWS DeepRacerMLë¡ ìì§ì´ë 1/18 í¬ê¸°ì ìì¨ì£¼í ê²½ì£¼ì© ìëì°¨

AWS Inferentiaê¸°ê³ íìµ ì¶ë¡ ì¹©

AWS ê¸°ë° Apache MXnetíì¥ ê°ë¥í ì¤í ìì¤ ë¥ ë¬ë íë ììí¬

ê´ë¦¬ ë° ê±°ë²ëì¤

Amazon CloudWatchë¦¬ìì¤ ë° ì íë¦¬ì¼ì´ì ëª¨ëí°ë§

AWS Auto Scalingììì ë§ì¶° ì¬ë¬ ë¦¬ìì¤ì ê·ëª¨ ì¡°ì

AWS CloudFormationííë¦¿ì ì¬ì©íì¬ ë¦¬ìì¤ ìì± ë° ê´ë¦¬

AWS CloudTrailì¬ì©ì íë ë° API ì¬ì© ì¶ì

AWS Configë¦¬ìì¤ ì¸ë²¤í ë¦¬ ë° ë³ê²½ ì¶ì

AWS Control Towerìì íê³ ê·ì ì ì¤ìíë ë¤ì¤ ê³ì íê²½ì ì¤ì ë° ê´ë¦¬

AWS License Managerë¼ì´ì ì¤ ì¶ì , ê´ë¦¬ ë° ì ì´

AWS Management Consoleì¹ ê¸°ë° ì¬ì©ì ì¸í°íì´ì¤

AWS Managed ServicesAWSì ì¸íë¼ ì´ì ê´ë¦¬

AWS OpsWorksChef ë° Puppetì ì¬ì©í´ ì´ìì ìëí

AWS Personal Health DashboardAWS ìë¹ì¤ ìíì ëí ë§ì¶¤í ë³´ê¸°

AWS Service Catalogíì¤íë ì íì ìì± ë° ì¬ì©

AWS Systems Managerì´ì íµì°°ë ¥ íë³´ ë° ì¡°ì¹ ìí

AWS Trusted Advisorì±ë¥ ë° ë³´ì ìµì í

AWS Well-Architected Toolìí¬ë¡ëë¥¼ ê²í ë° ê°ì

ë¯¸ëì´ ìë¹ì¤

Amazon Elastic Transcoderì¬ì©ì´ ì½ê³ íì¥ ê°ë¥í ë¯¸ëì´ í¸ëì¤ì½ë©

Amazon Kinesis Video Streamsë¹ëì¤ ì¤í¸ë¦¼ ì²ë¦¬ ë° ë¶ì

AWS Elemental MediaConnectìì ì ì´ê³ ìì í ë¼ì´ë¸ ë¹ëì¤ ì ì¡

AWS Elemental MediaConvertíì¼ ê¸°ë° ë¹ëì¤ ì½íì¸ ë¥¼ ë³í

AWS Elemental MediaLiveë¼ì´ë¸ ë¹ëì¤ ì½íì¸ ë¥¼ ë³í

AWS Elemental MediaPackageë¹ëì¤ ì¤ë¦¬ì§ë¤ì´ì ë° í¨í¤ì§

AWS Elemental MediaStoreë¯¸ëì´ ì¤í ë¦¬ì§ ë° ê°ë¨í HTTP ì¤ë¦¬ì§

AWS Elemental MediaTailorë¹ëì¤ ê°ì¸í ë° ììµí

ë§ì´ê·¸ë ì´ì ë° ì ì¡

AWS Migration Hubí ê³³ìì ë§ì´ê·¸ë ì´ìì ì¶ì

AWS Application Discovery Serviceì¨íë ë¯¸ì¤ ì íë¦¬ì¼ì´ìì ê²ìíì¬ ë§ì´ê·¸ë ì´ìì ê°ìí

AWS Database Migration Serviceìµìíì ê°ë ì¤ë¨ì¼ë¡ ë°ì´í°ë² ì´ì¤ ë§ì´ê·¸ë ì´ì

AWS DataSyncê°ë¨íê³ ë¹ ë¥¸ ì¨ë¼ì¸ ë°ì´í° ì ì¡

AWS Server Migration Service ì¨íë ë¯¸ì¤ ìë²ë¥¼ AWSë¡ ë§ì´ê·¸ë ì´ì

AWS Transfer for SFTPìì ê´ë¦¬í SFTP ìë¹ì¤

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Amazon API GatewayAPI ë¹ë, ë°°í¬ ë° ê´ë¦¬

Amazon Pinpointì±ë ì ì²´ìì ì¬ì©ì ì°¸ì¬ ê°ì¸í

AWS Device Farmì¤ì ëë°ì´ì¤ë¡ AWS í´ë¼ì°ëìì Android, iOS ë° ì¹ ì±ì íì¤í¸

ë¤í¸ìí¹ ë° ì½íì¸ ì ì¡

Amazon VPCê²©ë¦¬ë í´ë¼ì°ë ë¦¬ìì¤

Amazon API GatewayAPI ë¹ë, ë°°í¬ ë° ê´ë¦¬

Amazon CloudFrontê¸ë¡ë² ì½íì¸ ì ì¡ ë¤í¸ìí¬

Amazon Route 53íì¥ ê°ë¥í Domain Name System(DNS)

Amazon VPC PrivateLinkAWSì í¸ì¤íë ìë¹ì¤ì ìì íê² ì¡ì¸ì¤

AWS App Meshë§ì´í¬ë¡ìë¹ì¤ ëª¨ëí°ë§ ë° ì ì´

AWS Cloud Mapí´ë¼ì°ë ë¦¬ìì¤ë¥¼ ìí ìë¹ì¤ ê²ì

AWS Direct ConnectAWSë¡ ì ì© ë¤í¸ìí¬ ì°ê²°

AWS Global Acceleratorì íë¦¬ì¼ì´ì ê°ì©ì± ë° ì±ë¥ ê°ì

AWS Transit GatewayVPC ë° ê³ì ì°ê²°ì ìì½ê² íì¥

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AWS Ground Stationìë¹ì¤ë¡ìì ìì ê´ë¦¬í ê·¸ë¼ì´ë ì¤íì´ì

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AWS Identity and Access Management(IAM)ì¬ì©ì ì¡ì¸ì¤ ë° ìí¸í í¤ ê´ë¦¬

Amazon Cloud Directoryì ì°í í´ë¼ì°ë ë¤ì´í°ë¸ ëë í°ë¦¬ ìì±

Amazon Cognitoì±ì ìí ìê²© ì¦ëª ê´ë¦¬

Amazon GuardDutyê´ë¦¬í ìí íì§ ìë¹ì¤

Amazon Inspectorì íë¦¬ì¼ì´ì ë³´ì ë¶ì

Amazon Macieë°ì´í°ë¥¼ ê²ì, ë¶ë¥ ë° ë³´í¸

AWS ArtifactAWSì ê·ì ì¤ì ë³´ê³ ìì ëí ì¨ëë§¨ë ì¡ì¸ì¤

AWS Certificate ManagerSSL/TLS ì¸ì¦ì íë¡ë¹ì ë, ê´ë¦¬ ë° ë°°í¬

AWS CloudHSMê·ì ì¤ìë¥¼ ìí íëì¨ì´ ê¸°ë° í¤ ì¤í ë¦¬ì§

AWS Directory ServiceActive Directory í¸ì¤í ë° ê´ë¦¬

AWS Firewall Managerì¤ììì ë°©íë²½ ê·ì¹ ê´ë¦¬

AWS Key Management Serviceìí¸í í¤ì ì ì´ ë° ìì± ê´ë¦¬

AWS Organizationsì¬ë¬ AWS ê³ì ì ì ì± ê¸°ë°ì¼ë¡ ê´ë¦¬

AWS Secrets Managerë³´ì ì ë³´ë¥¼ êµì²´, ê´ë¦¬ ë° ê²ì

AWS Security Hubíµí©ë ë³´ì ë° ê·ì ì¤ì ì¼í°

AWS ShieldDDoS ë³´í¸

AWS Single Sign-Oní´ë¼ì°ë SSO(Single Sign On) ìë¹ì¤

AWS WAFìì± ì¹ í¸ëí½ íí°ë§

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Amazon Simple Storage Service(S3)í´ë¼ì°ëììì íì¥ ê°ë¥í ì¤í ë¦¬ì§

Amazon Elastic Block Store(EBS)EC2 ë¸ë¡ ì¤í ë¦¬ì§ ë³¼ë¥¨

Amazon Elastic File System(EFS)EC2ë¥¼ ìí ìì ê´ë¦¬í íì¼ ìì¤í

Amazon FSx for Lustreìì ê´ë¦¬í ì»´í¨í ì§ì½ì íì¼ ìì¤í

Amazon FSx for Windows File Serverìì ê´ë¦¬í Windows ë¤ì´í°ë¸ íì¼ ìì¤í

Amazon S3 Glacierí´ë¼ì°ëìì ì ë ´í ìì¹´ì´ë¸ ì¤í ë¦¬ì§

AWS BackupAWS ìë¹ì¤ ì ì²´ì ê±¸ì³ ì¤ì ì§ì¤ì ë°±ì

AWS Storage Gatewayíì´ë¸ë¦¬ë ì¤í ë¦¬ì§ íµí©

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ê³ ê° íì ì§ì

ìí°íë¼ì´ì¦ ë³í
ìì¸¡ ë¶ì
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ìí°íë¼ì´ì¦ ì íë¦¬ì¼ì´ì

ìí°íë¼ì´ì¦ ë³í
AWSë¥¼ ì¬ì©íì¬ ë±í¹ì ì¬ì°½ì¡°íë Capital One

Capital Oneì´ ì´ë»ê² êµì¡, ì¥ê¸° ê³í, ê³ ê° ìêµ¬ì ëí ëììë ì§ì¤ì íµí´ í´ë¼ì°ë ì°ì ì ëµì êµ¬ííëì§ ììë³´ììì¤.
ìì¸í ììë³´ê¸°

ê³ ê°ì ì§ì¤

2014ëì Capital Oneì ì´ì ë§ íë¼ì´ë¹ í´ë¼ì°ë ê¸°ë¥ì ì¬ì©íê¸° ììíë©´ì AWSë ì¤íí´ ë³´ë ë¨ê³ììµëë¤. ì´ íì¬ë ê³ ê°ì´ ìíë ê¸°ë¥ì ìµëí ë¹¨ë¦¬ êµ¬ì¶íê¸° ìí´ AWSë¥¼ ì ííìµëë¤.

ì´ë ¤ì´ ë¬¸ì ë¨¼ì í´ê²°

ê¸ìµ ê¸°ê´ì¸ Capital Oneì ë³´ìê³¼ ê·ì ì¤ìë ë§¤ì° ì¤ìí©ëë¤. ì´ë¬í ìêµ¬ ì¬íì í´ê²°íê¸° ìí´ Capital Oneì AWSë¡ ìí¬ë¡ëë¥¼ ì´ì íê¸° ì ì í´ë¼ì°ë ìí íë ììí¬ë¥¼ êµ¬ì¶íê³ í´ë¼ì°ë ê±°ë²ëì¤ ê¸°ë¥ì êµ¬ííìµëë¤.

êµì¡: í´ë¼ì°ëì íµì¬

Capital Oneì AWSì ì§ì ììì ìííë ìì§ëì´ì í´ë¼ì°ë ì»´í¨íì íì ì¹í¸í ì ìì´ì¼ íë ë¹ê¸°ì ì´í´ê´ê³ìë¥¼ ìí í´ë¼ì°ë êµì¡ íë¡ê·¸ë¨ì ì ê³µí©ëë¤. ì´ íì¬ë íì¬ ì ì¸ê³ìì ì§ìë¤ì´ AWS ìê²©ì¦ì ê°ì¥ ë§ì´ ì·¨ëí ìí°íë¼ì´ì¦ 3ìì ì¬ë¼ ììµëë¤.

í´ë¼ì°ëì ì´ì ì¤í

AWSë¥¼ íµí´ Capital Oneì ìë¡ì´ ì íì ëª ë¬ ëë ëª ëì´ ìëë¼ ëª ì£¼ ë§ì ìì¥ì ì¶ìíê³ , ê¸°ê³ íìµì ì¬ì©íì¬ ê³ ê° ê²½íì ê°ì íê³ , ìµê³ ì ê°ë°ìì ìì§ëì´ë¥¼ ì ì¹í©ëë¤. ì´ ëª¨ë ê²ì´ íì¬ê° ê°ì¥ ì¤ìí ëª©íì¸ ê³ ê°ì ìí íìí ê²½íì ì°½ì¶íë ë° ëìì´ ë©ëë¤.
ìì¸¡ ë¶ì
Formula One Groupìì Amazon SageMakerë¥¼ ì¬ì©íì¬ ë ì´ì¤ë¥¼ ìµì í

Formula 1ìì ì´ë»ê² Amazon SageMakerì ë¤ë¥¸ AWS ìë¹ì¤ë¥¼ ì¬ì©íì¬ ë ì´ì¤ ìì¬ ê²°ì ì ìµì ííê³ í¬ ê²½íì ê°ì íëì§ ììë³´ììì¤.

ìì¸í ììë³´ê¸°

ë³í ìì

Formula One Groupì ì¸íë¼ ëë¶ë¶ì ì¨íë ë¯¸ì¤ ë°ì´í° ì¼í°ìì AWSë¡ ì´ì íê³ Amazon SageMakerë¥¼ ë¹ë¡¯í AWS ê¸°ê³ íìµ ìë¹ì¤ìì ì´ë¥¼ íì¤ííê³ ììµëë¤.

ê¸°ê³ íìµì¼ë¡ ë ì´ì¤ ìµì í

Formula 1 ë°ì´í° ê³¼íìë¤ì ì§ë 65ëê° ì°¨ëìì ìì§ë ë ì´ì¤ ê¸°ë¡ ë°ì´í°ë¥¼ ì¬ì©íì¬ ë ì´ì¤ë¥¼ ìì¸¡íê³ íì´ ë ì´ì¤ ëì¤ ìì¬ ê²°ì ì ìµì ííë ë° ëìì´ ëë ë¥ ë¬ë ëª¨ë¸ì êµì¡íê³ ììµëë¤. ì´ ëª¨ë¸ì íì´ ì°¨ëì í¼í¸ë¡ ë¶ë ¤ì¼ í ìì ì ìì¸¡íê³ , íì´ì´ êµì²´ë¥¼ ìí ìµì ì íì´ë°ì ê²°ì íê³ , ëë¼ì´ë²ì ìíë¥¼ íê°í ì ììµëë¤.

í¸ë ì ë³´ë¥¼ í¬ìê² ê³µì

Formula 1ì AWS ë°ì´í° ì¤í¸ë¦¬ë°, ë¶ì ë° ë¯¸ëì´ ìë¹ì¤ë¥¼ ì¬ì©íì¬ 5ìµ ëªì´ ëë í¬ìê² ì´ì ì ìì¬ ê²°ì ê³¼ ì°¨ë ì±ë¥ì ëí íµì°°ë ¥ì ì ê³µí©ëë¤.

ë¯¸ëë¥¼ ìí êµ¬ì¶

Formula 1ì´ AWSì íì¥ ê°ë¥í íê²½ìì ê³ ì±ë¥ ì»´í¨í ìí¬ë¡ëë¥¼ ì¤ííë¯ë¡ ì©ëì ëí ê±±ì ìì´ Formula 1 ë ì´ì± ê²½í, ì°¨ë ëìì¸ ë±ì íì í ì ììµëë¤.
ê¸°ê³ íìµ
MLBìì AWSë¥¼ ê³µì ê¸°ê³ íìµ ê³µê¸ìë¡ ì ì

ë¯¸êµì íë¡ì¼êµ¬ ë¦¬ê·¸ìì ì´ë»ê² AWS Machine Learningì ì¬ì©íì¬ íµê³ì ìë¯¸ë¥¼ ë¶ì¬íëì§ ììë³´ììì¤
ìì¸í ììë³´ê¸°

ë¥ ë¬ëì ìí ê¸°ë°

MLBë ìì ë ëì ì ìì ëí íµê³ ë°ì´í°ë¥¼ ìì§í´ìì¼ë©° 2015ëì AWSë¥¼ ì¬ì©íì¬ ê²½ê¸° íµê³ë¥¼ ìì§ ë° ë°°í¬íì¬ í¬ ê²½íì í¥ìíê¸° ììíìµëë¤.

ê°ë°ì ì§ì

MLBë Amazon Sagemakerë¥¼ ì¬ì©íì¬ ê°ë°ì ë° ë°ì´í° ê³¼íìê° ëª¨ë ê·ëª¨ì ê¸°ê³ íìµ ëª¨ë¸ì ì½ê³ ë¹ ë¥´ê² êµ¬ì¶, êµì¡ ë° ë°°í¬í ì ìê² ì§ìíê³ ììµëë¤.

ë¡ë ê°ì

ì´ë¬í ëª¨ë¸ì MLBê° ì ì ê¸°ë¡, ê²ì ë¸í¸ ìº¡ì², í¬êµ¬ ë¶ë¥ì ê°ì ë ì½ë ì ì§ ë° íµê³ì ê´ë ¨ë ìê° ìëª¨ì ì¸ ìë íë¡ì¸ì¤ë¥¼ ìì ë ë° ëìì´ ë©ëë¤.

ê²ì ê°ì¸í

MLBë Amazon ML Solutions Labê³¼ íë ¥íì¬ í¬êµ¬ ìì¸¡ ì íì± íì¤í¸, ê°ì¸íë ìì²ì ê²½í ìì±ì ë¹ë¡¯íì¬ ì ì ì±ê³¼ë¥¼ ë¶ìíë ì¶ì ê¸°ì ì¸ Statcastë¥¼ ì§ìì ì¼ë¡ ê°ì í ê³íìëë¤.

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MLBë ì¸ê³µ ì§ë¥ì ì¬ì©íì¬ íì ì ê³ìí ê²ìëë¤. ì´ ì¡°ì§ììë Amazon Comprehendë¥¼ ì¬ì©íì¬ ìì§ì ì¸ ìëì´ìë¥¼ íë´ ë´ë ë¼ì´ë¸ ê²ìì ëë³¸ì ë§ë¤ ì ìë ì¸ì´ ëª¨ë¸ì êµ¬ì¶í ê³íìëë¤.
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Matsonì´ ì´ë»ê² AWSë¥¼ ì¬ì©íì¬ íì ê³¼ ì¸ê³ì ìì¤ì ê³ ê° ìë¹ì¤ë¥¼ ì¶ì§íë ëìì ì´ì ìì ì±, ë³´ì ë° ì¸íë¼ ë¹ì© ì ê°ì ì¤ííëì§ ììë³´ììì¤.
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Matsonì ê¸ë¡ë² ì»¨íì´ë ì¶ì ì ìí´ ëí ëª¨ë°ì¼ ì íë¦¬ì¼ì´ìì êµ¬ì¶íìµëë¤. ê³ ê°ì ì´ë¥¼ ì¬ì©í´ ì ì íë¬¼ì ì¤ìê°ì¼ë¡ ì¶ì í ì ììµëë¤. ì íë¦¬ì¼ì´ìì ë¤ë¥¸ ì ì©í ê¸°ë¥ì¼ë¡ë ëíì ì ë° ì¼ì ê²ì, ìì¹ ê¸°ë° íêµ¬ ì§ë ì¡°í, ë¼ì´ë¸ ì¶ìë¬¸ ì¹´ë©ë¼ í¼ëë¥¼ ë¤ ì ììµëë¤.

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ëª¨ë ëª¨ë°ì¼ ëë°ì´ì¤ë Amazon API Gatewayë¥¼ íµí´ AWSì ì¡ì¸ì¤í©ëë¤. ì´ë Matsonì ê¸°ì¡´ ê°ì ì¬ì¤ í´ë¼ì°ë ë´ ë¦¬ìì¤ì ì¡ì¸ì¤í ì ìë ê³ ê°ì©ì± ì£ì§ ë¡ì¼ì´ìì ìëí¬ì¸í¸ë¥¼ ì ê³µí©ëë¤.

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AWS Lambda í¨ìë ë§ì´í¬ë¡ ìë¹ì¤ í¨í´ì ì¬ì©í´ ì¤ê³ëìì¼ë©° ì ì ì¶ì ì´ë ì ë° ì¼ì ê³¼ ê°ì´ ë°ë¤ë¥¼ ê¸°ë°ì¼ë¡ í í¹ì ë¹ì¦ëì¤ ë§¥ë½ìì ëª¨ë¸ë§ëììµëë¤.

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Amazon DynamoDBë êµ¬ì±ë¿ë§ ìëë¼ ì¬ì©ì í¼ëë°± êµ¬ì±ê³¼ ëª¨ë°ì¼ ëë°ì´ì¤ìì ì ì¡ë ì¬ì©ì í¼ëë°± ìë¦¼ë ê´ë¦¬í©ëë¤. DynamoDB ì¤í¸ë¦¼ì Matsonì ê³ ê° ìë¹ì¤ íì ì¤ìê° ìë¦¼ì ì ê³µí©ëë¤.

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Matsonì ê³ ê°ì ì íí ìµì ì»¨íì´ë ì¶ì ë° ì ë° ìí ì ë³´ë¥¼ íì©í©ëë¤. ìì¤í ì´ë²¤í¸ì ëª¨ëí°ë§ ë° ìë¦¼ ê¸°ë¥ì Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda ë° CloudWatch Logsë¥¼ ì¬ì©í´ êµ¬íí ì ììµëë¤.

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Matsonì ì´ì ì ì§ ê´ë¦¬í ì¸íë¼ ìì´ ì ì ì ì¶ì í ì ìë ìë í¬ ìë ìë²ë¦¬ì¤ ì íë¦¬ì¼ì´ìì ê³ ê°ìê² ì ê³µí ì ììµëë¤.
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ì ì¸ê³ë¥¼ ëìì¼ë¡ íë ê²ìì¸ Fortniteë¥¼ ì§ìíê¸° ìí´ AWSë¥¼ ì¬ì©íë Epic Games

Epic Gamesê° ì´ë»ê² AWSë¥¼ ì¬ì©íì¬ ì ì¸ê³ìì 2ìµ ëªì´ ëë íë ì´ì´ìê² Fortniteë¥¼ ì ê³µíëì§ ììë³´ììì¤.

ìì¸í ììë³´ê¸°

í´ë¼ì°ëì ê¸°ë° êµ¬ì¶

Epic Gamesë 2012ëë¶í° AWSë¥¼ ì¬ì©í´ ìì¼ë©° íì¬ë ëª¨ë ìì¤íì AWS Cí´ë¼ì°ëë¡ ì´ì íì¬ ì ì¸ê³ ê²ì ìë² íë¦¿, ë°±ìë íë«í¼ ìì¤í, ë°ì´í°ë² ì´ì¤, ì¹ ì¬ì´í¸, ë¶ì íì´íë¼ì¸ ë° ì²ë¦¬ ìì¤íì AWSìì ì¤ííê³ ììµëë¤.

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Epic Gamesë 2017ëì í¬ë¡ì¤íë«í¼ ë©í°íë ì´ì´ ê²ìì¸ Fortniteë¥¼ ì¶ìíì¼ë©° íë£»ë°¤ ë§ì ëíì ì¼ì¼ì¼°ìµëë¤. ì²«í´ì Fortniteì ì¬ì©ì ê¸°ë°ì ì ì¸ê³ì ì¼ë¡ 2ìµ ëªì íë ì´ì´ë¡ 100ë°° ì´ì ì±ì¥íìµëë¤.

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AWSë Fortniteì ì±ê³µì íìì ì¸ ìììëë¤. Epic Gamesë AWSë¥¼ ì¬ì©íì¬ ì©ë ê±±ì ìì´ ììµ ëªì ì´ëë ì¬ì©ìê° ì°¸ì¬íë ê²ì ë´ ì´ë²¤í¸ë¥¼ í¸ì¤ííê³ , ë¶ë¹ 1ìµ 2ì² 5ë°±ë§ ê±´ì ì´ë²¤í¸ë¥¼ ë¶ì íì´íë¼ì¸ì¼ë¡ ìì§íê³ , í ë¬ì 5PB ì´ìì© ì¦ê°íë ë°ì´í° ì¨ì´íì°ì¤ë¥¼ ì²ë¦¬í©ëë¤.

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Epic Gamesë AWSë¥¼ ì¬ì©íì¬ ëììì´ íë ì´ì´ì ê²½íì ê°ì íê³ ìë¡ê³ í¥ë¯¸ì§ì§í ê²ì ë° ê²ì ììë¥¼ ì ê³µí©ëë¤. ì´ íì¬ë ê¸°ê³ íìµ ë° ì»¨íì´ë ìë¹ì¤ë¥¼ í¬í¨í´ ìì¼ë¡ AWS ìë¹ì¤ ì¬ì©ì íëí ê³íìëë¤.
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BPê° ì´ë»ê² SAP ì íë¦¬ì¼ì´ì ì íêµ°ì ê°ìí ë° íëííì¬ ì¬ì©ì ê²½íì ê°ì íë ëìì ë¹ì© ë¯¼ì²©ì±ê³¼ ì±ë¥ì í¥ìíëì§ ììë³´ììì¤.
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BPì IT ì¡°ì§ì ê³µê¸ë§, ì¡°ë¬, ì¬ë¬´ ë±ì ìí´ ì ì¸ê³ìì ìì² ëªì ì§ìì´ ì¬ì©íë SAP ì íë¦¬ì¼ì´ìì ê´ë¦¬í©ëë¤.

ìëì ë¹ì© ë¯¼ì²©ì± í¥ì

ìëì ë¹ì© ë¯¼ì²©ì±ì í¥ìíê¸° ìí´ BPììë Amazon EC2ë¥¼ ì¬ì©íì¬ íµì¬ ë¹ì¦ëì¤ ì±ì í´ë¼ì°ëë¡ ì´ì íìµëë¤. ëí, íììë ê·ëª¨ë¥¼ íì¥íê³ ì¤ìê° ë¶ìì ì§ìíê¸° ìí´ EC2 X1 ì¸ì¤í´ì¤ë¥¼ êµ¬ì¶íìµëë¤.

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íììë ì´ì ëª ì£¼ ëë ëª ë¬ì´ ìëë¼ ëª ìê° ìì ì¨ëë§¨ëë¡ ìì¤íì ê°ëí ì ììµëë¤. BPë ìëê° 40% í¥ìë Lubricants ERP ìì¤íì ë¹ë¡¯íì¬ ì ë°ì ì¼ë¡ ì±ë¥ì´ í¥ìëê³ ììµëë¤.

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í´ë¼ì°ë ë§ì´ê·¸ë ì´ìì ì¼íì¼ë¡ BPë AWS Config, AWS Identity and Access Management(IAM), Amazon CloudWatch ë° AWS Trusted Advisorë¥¼ ì¬ì©íì¬ ë³´ì íì¤ì ì¬ì¤ì íìµëë¤. ì´ë¬í ìë¡ì´ íì¤ì BPê° IT ì¡°ì§ ì´ìì ìí ìì í íë ììí¬ë¥¼ ê°ë°íë ë° ëìì´ ëììµëë¤.

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AWS Marketplaceë AWSìì ì¤íëë ìíí¸ì¨ì´ë¥¼ ì½ê² ê²ì, íì¤í¸, êµ¬ë§¤ ë° ë°°í¬í ì ìëë¡ ìì² ê°ì Independent Software Vendor(ISV) ìíí¸ì¨ì´ ì í ëª©ë¡ì ì ê³µíë ëì§í¸ ì¹´íë¡ê·¸ìëë¤.

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#####EOF##### Amazon.com: [Only Charging] Multi USB Cable,Chafon 6 in 1 USB Multi Charge Cable with Type C,Mini USB,2 Micro USB Connectors for Charging-2 Pack: Cell Phones & Accessories

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[Only Charging] Multi USB Cable,Chafon 6 in 1 USB Multi Charge Cable with Type C,Mini USB,2 Micro USB Connectors for Charging-2 Pack

by CHAFON

115 customer reviews

| 10 answered questions

Amazon's Choice for "4 in 1 charging cable"

Price:	$14.99 FREE Shipping Get free shipping Free 5-8 business-day shipping within the U.S. when you order $25 of eligible items sold or fulfilled by Amazon. Or get 4-5 business-day shipping on this item for $5.99. (Prices may vary for AK and HI.) Learn more about free shipping on orders over $25âor get FREE Two-Day Shipping with Amazon Prime

Color: 2 Pack Balck

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âVersatility: Including 1 USB C,2 Micro USB,1 Mini USB,1 USB A 2.0 a life saving tool, pretty gift for your family and friends.[Please note: This cable is Not support Sync Data and quick charge.]
âConvenience: It is a handy and portable cable. Perfect all-in-one Charging Solution for on-the-go People, travellers or road warrior.Easily fits into your pocket or hold it in your hands.
âUSB Type C : Add a USB Type-C function.Its design helps you insert the connector in a right way all the time.Adapting the latest device.
âTime-saving : Charging different digital devices with different plug at the same time.
âChafonâs Warranty: 100% Satisfaction&100% Performance for your life.Backed by ChafonDirect 1-year Limited Warranty.

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Product Description

Premium 6 in 1 Multi Charge Cable

Multi usb charging cable multi device charging

Excellent well made and conceived !

The nice concept of 6 in 1 comes from our daily charging cable getting tangled or forgetting, it is the perfect solution ofÂ all in one compact charge cable.

Multi cord is widely used in charging for today's digital devices, like Android, USB-C smartphones, tablets, MP3 players, PDAs, digital cameras/camcorders, bluetooth headphones, wireless speaker, e-readers, external battery chargers, power bank etc.

Chafon CF62 helps you maximize your performance and convenient when charging.

Super Convenient

An important part of your electronics kit

Universal Use Convenience that no need to

carry many cables when you are in a car, home,

workplace or in travelling, perfect travel charger.

--Weight: 24g

--Item Length: 7.9''

--Max working length: 12.6''

Only for Charging

6-in-1 Multifunction Charger Cable:

It includes 1x USB C cable, 2x Micro USB,1x Mini USB,1x USB 2.0 A.

How to use

Simply connect the USB 2.0 A adapter end into a power source,

such as power bank,usb hub,wall adapter,car charger and

corresponding adapter to your devices (Max 5 devices) to charge.

MAKE YOU A HERO!

Charge it from wall adapter

Charge from a powerful USB charger[above 2A current], or the charging rate would be very low when charging several devices simultaneously.

Charge it from PC

Not support fast/quick charge
Do not suitable for thick phone case, if the cable not charge your device,please check whether equipped a thick Case.

High-quality Copper Wire

Multi Charging cablesÂ individual at 2A Maximum charging speed,the cable ensures charging speed and durable material help extend the life of the cable.

Compare with similar items

		SDBAUX Multi USB Charger Cable Retractable 2Pack 4ft 3 in 1 Multiple Charging Cord Adapter with Mini Type C Micro USB Port Connectors Compatible with Cell Phones Tablets Universal Use (Charging Only)	eLUUGIE 3 Packs Short 30cm Multi USB Charging Cable Fast Charger Cord 3 in 1 USB Type C, Micro USB and Lightning Connectors for Samsung S8 S7, Android, Apple iPhone 5,5s,5c,6,6s,7 (Silver)	Multi Charging Cable,IVVO 4 in 1 Multiple USB Cable Charger Adapter Connector with Type C/Mini/Micro USB Ports Compatible with Phone 7 7 Plus, Nexus 6P/5X, OnePlus 3, LG G5 and More	2 pack Multi charging cable by Trendsetter \| 3 in 1 Nylon Braided Multiple USB Fast Charger Cord 3ft(1m) with Micro USB / Type C Compatible For Phone 7/7 Plus/Galaxy S8 and more (2 pack-Silver)	Multi Charger Cable 2 Pack IVVO 4 in 1 Multiple USB Charging Cord Adapter with Micro/Type C/Mini USB Ports for Phone 7 7 Plus,iPad, Galaxy S8, Android and More
	Add to Cart	Add to Cart	Add to Cart	Add to Cart	Add to Cart	Add to Cart
Customer Rating	(115)	(61)	(47)	(162)	(409)	(56)
Price	$14.99	$11.99	$14.99	$7.85	$12.99	$10.85
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Sold By	ChafonDirect	SDBAUX	Dragon-Service	IVVO	Bossky Electronic Technology	IVVO
Compatible Devices	motorola moto g, oneplus two, samsung galaxy note 4, apple iphone 4s, lumia 950 xl, lg nexus 4, apple iphone 6s, apple iphone 5s, samsung galaxy s7, samsung galaxy s5, samsung galaxy s3, samsung galaxy s4, huawei nexus 6p, apple iphone 6 plus, nokia lumia 950, htc one s, samsung galaxy note 3, samsung galaxy note 2, apple iphone 5c	lg nexus 5	iPhone 7 Plus / 7 / 6s Plus / 6s / 6 Plus / 6 / 5s / 5c / 5 /, iPad Pro / iPad Air / Air 2 / iPad mini / mini 2 / mini 4 / iPad 4th gen / iPod Touch 5th gen / iPod nano 7th gen and Beats Pill+ ,, Micro USB for Samsung Galaxy S7/6/5,, Samsung Galaxy Note 5/4/3/2, HTC, SONY, Most Android phones; PSP, digital camera, MP3/MP4, kindle fire and laptop.Type-C for Lumia 950, Lumia 950 XL, OnePlus 2, Nokia N1, Lenovo Zuk Z1, Nexus 5X, Nexus 6P, and Pixel C., Samsung Galaxy s8 s8 plus	iphone 7 iphone 7 plus iphone 6 6 plus se 5 5s 4s, samsung s6 s5, iPad Air 2 Mini 3 LG BlackBerry, Nexus 5P 6X OnePlus 2 3, Nexus HTC Motorola Nokia, Lumia 950 Lumia 950XL ZUK Z1	apple iphone 6 plus, blackberry z10, motorola moto g, apple iphone 6s plus, huawei nexus 6p, lg nexus 4, apple iphone 6s, apple iphone 5c, apple iphone 5s	apple iphone 5, samsung galaxy s3, apple iphone 6, samsung galaxy s4, huawei nexus 6p, apple iphone 6 plus, lg nexus 4, apple iphone 5c, apple iphone 5s, motorola moto g

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Product information

Color:2 Pack Balck

Package Dimensions

6.2 x 3.9 x 0.4 inches

Item Weight

0.64 ounces

Shipping Weight

0.64 ounces (View shipping rates and policies)

Manufacturer

CHAFON

ASIN

B01M8PYE5X

Item model number

CF-62

Customer Reviews

115 customer reviews

4.3 out of 5 stars

Best Sellers Rank

#3,653 in Cell Phones & Accessories (See Top 100 in Cell Phones & Accessories)
#263 in Cell Phone Cables

Date first listed on Amazon

November 1, 2016

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Seller Warranty Description

1 year warranty

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115 customer reviews

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TMR

Overpriced without Data Transfer Capability. Needs USB Extemsion.

November 29, 2018

Color: 2 Pack BalckVerified Purchase

All is all, this is not a convenient replacement cable for numerous devices but an insurance cable that stays in my travel bag for those situations where I forget a regular cable or need multi-charging.

Purchased this as a convenient travel companion to replace numerous other USB cables for the various devices I travel with. Works well, especially on International trips where the outlets are not 110V USA. I still have to remember to carry regular USB cables if I need data transfer/syncing.

The other problem is the lead cable is too short for those times when you need to charge and use your device at the same time. So you need your regular cable once again or a USB cable extension (which this item needs to include).

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Comment

MikeJG

Handy charging tool when you are on the go.

June 10, 2018

Color: 2 Pack BalckVerified Purchase

Handy tool for charging your toys when you are on the run. It seems like whatever needs charging never has the right cord available. This eliminates it with 6 heads to choose from. I haven't ran into any problems charging any of my tech with it.

One person found this helpful

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Scott Pederson

Only need one cable to adapt to multiple phones, cameras, devices

January 14, 2019

Color: 2 Pack BalckVerified Purchase

I have two cell phones. One for work, one personal. They are different MFGs, so rather than carry Android and iphone chargers, I have one extra battery and this cable to adapt to anything. GoPro,

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Kaz

iPhone connection would not fit

October 13, 2018

Color: 2 Pack BalckVerified Purchase

The connector to charge my iPhone did not fit on either cable. It would not insert into my phone for charging. Other connections did fit though for my Samsung.

Helpful

Comment

Les Mise'

Love them!

June 10, 2017

Color: 2 Pack BalckVerified Purchase

I bought 4 sets. That shows --- I love the product. It is nice to have all type of cable at your finger tip and not having to pack so many cables when I travel for work or pleasure!

One person found this helpful

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D. Metta

Could be easily improved

November 10, 2017

Color: 2 Pack BalckVerified Purchase

This multi charger has been working without incident. My only issue is that there should be some length of wire between the charger plug and where it splits into the various chargers. As it is, I have to balance my phone on the console and continually ram it when putting the the trans in gear. Two phones at once does not appear to be a viable option/easily accomplished.

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Comment

Adam

Work great every time.

November 4, 2017

Color: 2 Pack BalckVerified Purchase

I use these daily and they are great. Through all my abuse they still have not loosened or frayed. Given all the cables, they can het wrapped up around things in my pocket, but this is a small price to pay for having all of the connector types.

Helpful

Comment

moniq_n

Does not work

December 14, 2018

Color: 2 Pack BalckVerified Purchase

Useless nothing charges - says device may not be compatible for all the devices in the house. Good luch trying to charge an IPhone

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This item: [Only Charging] Multi USB Cable,Chafon 6 in 1 USB Multi Charge Cable with Type C,Mini USB,2 Micro USB Connectors for Charging-2 Pack

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#####EOF##### Amazon.com: CaseBot Genuine Leather Case for Kindle Oasis (9th Gen, 2017 Release) - Slim Lightweight Cover with SF Coated Non Slip Matte Finish Back Case Auto Wake/Sleep for Amazon All-New 7" Kindle Oasis, Ice: Computers & Accessories

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CaseBot Genuine Leather Case for Kindle Oasis (9th Gen, 2017 Release) - Slim Lightweight Cover with SF Coated Non Slip Matte Finish Back Case Auto Wake/Sleep for Amazon All-New 7" Kindle Oasis, Ice

by CaseBot

578 customer reviews

| 33 answered questions

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Color: Ice

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Designed exclusively for Amazon All-New 7-Inch Kindle Oasis E-reader (9th Generation - 2017 Release). Does Not Fit Amazon 6-Inch Kindle Oasis (8th Generation - 2016 Released).
Authentic leather exterior and soft non-scratch microfiber interior lining provide full protection against daily use. Elegant genuine leather texture offers soft natural feel and classic look.
Soft matte finish hardshell offers all-round protection for your Oasis. Built-in magnetic strip provides sleep / wake feature.
Slim fit design keeps application and removal effortless. Precise cut-outs with easy access to all features.
CaseBot, a premium series brought to you by Fintie.

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Color: Ice

Save 10% on Fintie 9-11 Inch Tablet Sleeve with Stylus Holder - Gray when you purchase 1 or more Qualifying items offered by Fintie. Here's how (restrictions apply)

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From the manufacturer

All-New Kindle Oasis case cover stand charger 2017


	Sleeve Case	Tempered Glass Screen Protector	Stand Case	Sleek Shield Series Case	Slim Case	Universal Tablet Stand
Compitability	Kindle Oasis (2017)	Kindle Oasis (2017)	Kindle Oasis (2017)	Kindle Oasis (2017)	Kindle Oasis (2017)	4"-10" Smartphones and Tablets
Features	Auto sleep/wake function	9H hardness, scratch resistand	Multi-angles viewing	Lightweight	Slim, lightweight	Multi-angles viewing, foldable
Material	PU Leather	Tempered Glass	PU Leather	PU Leather	PU Leather	Durable ABS
Multi-color options	✓		✓	✓	✓	✓
Portability	✓	✓	✓	✓	✓	✓

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		Ayotu Skin Touch Feeling Case for Kindle Oasis(9th Gen, Released only in 2017) Honeycomb Version PU case with Auto Wake/Sleep,New Waterproof 7''Kindle Oasis Case,Soft Shell Series KO-10 The Red Wine	MoKo Case for All-New Kindle Oasis (9th Generation, 2017 Release) - Premium Ultra Lightweight Shell Cover with Auto Wake/Sleep for Amazon Kindle Oasis E-Reader Case, Wine Red	CaseBot Fabric Case for Kindle Oasis (9th Gen, 2017 Release) - Slim Fit Cover with SF Coated Non Slip Matte Finish Back Case with Auto Wake/Sleep for Amazon All-New 7" Kindle Oasis, Denim Charcoal	MoKo Case for All-New Kindle Oasis (9th Generation, 2017 Release) - Slim Fit Premium PU Leather Protective Cover with Auto Wake/Sleep for Amazon Kindle Oasis E-Reader Case, Vintage Style	Ayotu Colorful Case for Kindle Oasis - (9th Gen, Released only in 2017) Honeycomb Version PU case with Auto Wake/Sleep,New Waterproof 7''Kindle Oasis Case,Soft Shell Series KO-10 The Watercolor
	Add to Cart	Add to Cart	Add to Cart	Add to Cart	Add to Cart	Add to Cart
Customer Rating	(578)	(133)	(1203)	(276)	(343)	(103)
Price	$13.99	$24.99	$15.99	$12.59	$13.99	$18.99
Shipping	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25
Sold By	Fintie	Ayotu Mall-US	BSCstore	Fintie	BSCstore	Ayotu Mall-US
Color	Ice	The Red Wine	Wine Red	Denim Charcoal	Vintage Style	The Watercolor
Item Dimensions	6.3 x 5.71 x 0.49 in	5.6 x 6.3 x 0.5 in	6.57 x 4.72 x 0.49 in	6.3 x 5.71 x 0.49 in	6.57 x 4.72 x 0.49 in	5.6 x 6.3 x 0.5 in

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Product description

Color:Ice

CaseBot, a premium series brought to you by Fintie!

Protect your 7-Inch Kindle Oasis with this Fintie Slim Case at all times! The Slim Case sports a simple and classy design. The matte coated back shell is made from durable polycarbonate material so you do not need to worry about any damages. It offers an easy clip-on application. Our innovative cover was designed to specifically fit your Kindle Oasis and secures your device without any hinges or straps. Thin, lightweight, and durable, this cover is perfect for taking Kindle Oasis wherever you go. Available in a variety of bright and fun colors.

Product information

Color:Ice

Product Dimensions

6.3 x 5.7 x 0.5 inches

Item Weight

14.4 ounces

Shipping Weight

14.4 ounces (View shipping rates and policies)

Manufacturer

Fintie

ASIN

B07B7H4L8F

Customer Reviews

578 customer reviews

4.6 out of 5 stars

Best Sellers Rank

#284 in eBook Reader Covers

Date first listed on Amazon

January 19, 2018

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JAC

Near perfect case -- comfy, protective and great magnets

March 13, 2018

Color: BurgundyVerified Purchase

I originally had a Moko case for my brand new Kindle Oasis. I was pretty happy with it -- it looked nice (I had the faux leather one that looks like an old book), was light and protective. However, the magnets that keep the flap closed were very weak, with the result that it often slipped open both exposing the Kindle to risk of damage and always turning it "on," draining my battery needlessly. After doing some research I decided to give the CaseBot a try, and I'm thrilled with my purchase. It looks great (real leather) and, to start, the magnets are perfect -- strong enough to keep the cover from flapping open or moving but easy to open myself when I want to. The wake/sleep feature now works as it should, saving my battery. It's also very comfortable to hold -- some reviews noted that the front cover flap is "padded," and I think it is very slightly -- not so much that there is any added or uncomfortable bulk, but enough to add some protection to it. I actually find that it makes the Kindle very easy and comfortable to hold with the cover flap flipped back. The foam material on the inside is similarly soft and comfy. The build quality is fantastic. And, oddly enough, though I hadn't dropped my Oasis yet (and rarely have dropped any of my past Kindles), the very day I got this cover and put in on I dropped the Kindle onto the hard concrete of my garage -- the Kindle and cover both were perfect. So, I'd very highly recommend this cover -- it looks great, is very well made, is protective and very comfortable to hold. And, oh yeah, the magnets work perfectly!

28 people found this helpful

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Richard Selmon

High Quality, but not light weight.

February 16, 2018

Color: BurgundyVerified Purchase

This case is well made, and the leather feels nice. I purchased based on the suggestions given to me when I added my new Oasis to my shopping cart. The quality seems to be what I expect from first party Apple products (meaning good), as well as the few Amazon brand cases I have owned. Overall I like the case. The only reason I am giving it 4 out of 5 has to do with the weight of the case. Several reviews as well as the description indicate that it is "light weight" but in actuality it weighs almost as much as the Oasis itself, meaning that when it is on the Oasis, it as almost 400 grams all together (each weighs approx.190 grams). Perhaps this IS light compared to other cases, but still not what I was expecting. If the weight is not an issue for you, feel free to mentally add another star. It is very well made.

15 people found this helpful

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AstroMelissa

Beautiful. Nice quality leather

February 3, 2018

Color: BrownVerified Purchase

Beautiful. Nice quality leather. However, itâs more of an orange brown than brown. Donât totally dig the orange hue but itâs not unbearable.

22 people found this helpful

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Comment

Luxurious to hold; protects the Kindle well

February 20, 2018

Color: BlackVerified Purchase

I like the feel of this case. It covers the back entirely, and there is no reasonable chance of the Kindle falling out. The front cover folds all the way back without damage. It is light, though a bit thicker than some cases I've seen. I actually think the Kindle is getting too thin and I like the feel of something in my hand. The smaller cases are a bit insubstantial for my taste. This is plush, so it adds a bit of something to hold without adding weight as compared to the thinner ones.

It seems reasonably sturdy, but I'm not letting my cats get their claws on it.

11 people found this helpful

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CurlyCaGirl

It Feels Good to Hold the O2 in this Cover. 4th Times the Charm

April 14, 2018

Color: BlackVerified Purchase

10.6.18 Update - I still love this cover, I like the way it feels. It is easier to fold back the cover now, but I rarely do that. No chips and it has been dropped a couple of times, (it just happens) no damage. Closes securely to not suck the battery any more than it already does. Still looks brand-new and it goes everywhere with me. I still think this is the only real leather O2 cover available and if you'd rather have leather than PLU, this is the one.

This is my 4th Oasis 2 cover, the Amazon leather atrocity, a couple of pleather covers that started chipping in the corners within the month return limit, and finally, hopefully lastly, I've had this since March 5 and it still looks as nice as the day I got it. This also the only one that closes and stays closed, the covers match, (the first three's covers didn't quite match, this one closes and light goes out quickly and as you know the O2 doesn't have a very good battery, the battery drain has been better with this cover.

Oh, and I did drop the O2 in the bathroom the other day, the cover protected it and no chips out of the cover.

5 people found this helpful

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CaseBot Genuine Leather Case for Kindle Oasis (9th Gen, 2017 Release) - Slim Lightweight Cover with SF Coated Non Slip Matte Finish Back Case Auto Wake/Sleep for Amazon All-New 7" Kindle Oasis, Ice

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Mar 27	AWS Transfer for SFTP now supports AWS PrivateLink
Feb 28	Resource Groups Tagging API Supports Additional AWS Services
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Feb 14	AWS Transfer for SFTP is now available in the Asia Pacific (Mumbai) Region
Jan 18	AWS Migration Hub Now Supports Importing On-Premises Server and Application Data to Track Migration Progress

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Date	Announcement
Mar 20	AWS Config Adds Support for Amazon API Gateway
Mar 14	Amplify Framework Adds Enhancements to Authentication for iOS, Android, and React Native Developers	Blog
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Date	Announcement
Mar 27	Application Load Balancers now Support Advanced Request Routing	Blog
Mar 27	AWS Transfer for SFTP now supports AWS PrivateLink
Mar 25	Announcing Multi-Account Support for Direct Connect Gateway
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Date	Announcement
Apr 20	Use the Enhanced AWS Price List API to Access AWS Service- and Region-Specific Product and Pricing Information	Blog
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Mar 25	AWS RoboMaker announces new build and bundle feature that makes it up to 10x faster to update a simulation job or a robot	Blog
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Dec 19	Announcing 15 Free Digital Training Courses on New AWS Services Launched at re:Invent 2018
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Mar 28	AWS Key Management Service Increases API Requests Per Second Limits
Mar 28	AWS Key Management Service increases the default limits for keys, aliases, and grants
Mar 25	Service control policies in AWS Organizations enable fine-grained permission controls	Blog
Mar 18	Announcing the renewal command for AWS Certificate Manager
Mar 14	Amazon Inspector adds support for Amazon EC2 A1 instances

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Sep 21	New AWS Pop-up Loft Opens in Berlin	Blog
Aug 20	AWS Pop-Up Loft \| London
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Date	Announcement
Mar 27	AWS Announces the General Availability of the Amazon S3 Glacier Deep Archive Storage Class in all Commercial AWS Regions and AWS GovCloud (US)	Blog
Mar 27	AWS Storage Gateway Service Integrates Tape Gateway with Amazon S3 Glacier Deep Archive Storage Class	Blog
Mar 21	AWS Storage Gateway adds support for Amazon S3 Object Lock to File Gateway
Mar 13	Amazon FSx for Lustre is Now Available in the Asia Pacific (Tokyo) Region
Mar 13	Amazon FSx for Windows File Server is Now Available in the Asia Pacific (Tokyo) Region

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Date	Announcement
Dec 19	Support Center Now Available in AWS GovCloud (US) Regions
Aug 06	AWS Personal Health Dashboard Now Supports Fine-Grained Access Control Via IAM Policy Conditions
Jun 13	AWS Limit Monitor Now Supports Customization
Nov 20	AWS Trusted Advisor Adds Service Limit Dashboard and CloudWatch Metrics
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Apr 01	New AWS Fundamentals: Building Serverless Applications Course on Coursera
Mar 15	Now Available: New AWS Certified Machine Learning - Specialty Certification	Blog
Feb 18	Announcing Updated Professional-Level AWS Certification Exams
Feb 12	New AWS Digital Badges Unveiled to Showcase your AWS Certified Status
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#####EOF##### Amazon.com : Fenheus Girls Ladies Mens Fine Travel Folding Pocket Salon Hair Brush Comb Red Portable : Beauty

Price:	$4.59 & FREE Shipping

In Stock. Ships from and sold by Peak-Peak(fromChina 15-35 days delivery).

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Fenheus Girls Ladies Mens Fine Travel Folding Pocket Salon Hair Brush Comb Red Portable

by Fenheus

5 customer reviews

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About the product

Material: Soft Silicone
Folded Size:app 11.5 X 3cm
Opened Size:app 21.5 X 2.5cm

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Shipping Weight: 0.8 ounces (View shipping rates and policies)
ASIN: B00G63D2XC
UPC: 787734289153 784922283467 520728276681
Average Customer Review: 5 customer reviews
Amazon Best Sellers Rank: #769,602 in Beauty & Personal Care (See Top 100 in Beauty & Personal Care)
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John Q. Stone

Glad to have found this item, delivery was slow

June 27, 2014

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I had looked all over locally for this item and could not find it and alas I found it on your site although I felt that for the small size of the item the delivery time was a little excessive

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Falciase

Great for travel

March 31, 2016

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Works perfectly for travelling. Plus, red is my favorite color! Highly recommended.

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Sal Roberts

bad copy of an

September 10, 2015

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made with hard plastic that does not give , bad copy of an original

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maestraleonard

Two Stars

December 18, 2014

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The bristles are a little smaller than I thought they would be.

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latoya goodwin

Five Stars

October 1, 2015

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Great for travel

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#####EOF##### The Boat - Kindle edition by Nam Le. Literature & Fiction Kindle eBooks @ Amazon.com.

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Nam Le

The Boat Kindle Edition

by Nam Le (Author)

49 customer reviews

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The seven stories in Nam Le's masterful collection take us across the globe, guiding us to the heart of what it means to be human. From the slums of Colombia to Iowa City and from the streets of Tehran to a foundering vessel in the South China Sea, here are thrilling versatile tales that herald the arrival of a remarkable new writer.

Length: 289 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
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Editorial Reviews

From Publishers Weekly

Starred Review. From a Colombian slum to the streets of Tehran, seven characters in seven stories struggle with very particular Swords of Damocles in Pushcart Prize winner Le's accomplished debut. In Halflead Bay, an Australian mother begins an inevitable submission to multiple sclerosis as her teenage son prepares for the biggest soccer game of his life. The narrator of Meeting Elise, a successful but ailing artist in Manhattan, mourns his dead lover as he anticipates meeting his daughter for the first time since she was an infant. The opening Love and Honor and Pity and Pride and Compassion and Sacrifice features a Vietnamese character named Nam who is struggling to complete his Iowa Writer's Workshop master's as his father comes for a tense visit, the first since an earlier estrangement shattered the family. The story's ironies—You could totally exploit the Vietnamese thing, says a fellow student to Nam—are masterfully controlled by Le, and reverberate through the rest of this peripatetic collection. Taken together, the stories cover a vast geographic territory (Le was born in Vietnam and immigrated to Australia) and are filled with exquisitely painful and raw moments of revelation, captured in an economical style as deft as it is sure. (May)
Copyright © Reed Business Information, a division of Reed Elsevier Inc. All rights reserved.

Review

“Nam Le's lyricism and emotional urgency lend his portraits enormous visceral power. . . . A remarkable collection.” —The New York Times“Nam Le is extraordinary, a writer who must - who will - be heard. . . .The Boat's vision and its power are timeless.” —Mary Gaitskill“Astounding. . . . A refreshingly diverse and panoramic debut.” —Los Angeles Times Book Review“Extraordinarily accomplished and sophisticated. . . . Moving and unforgettable.” —San Francisco Chronicle“Wonderful stories that snarl and pant across our crazed world . . . . Nam Le is a heartbreaker, not easily forgotten.” —Junot Díaz“Lyrical . . . Powerful and assured. . . . [Le's] kaleidoscopic world view is on display throughout the stories, which seamlessly blend cultural traditions, accents and landscapes that run from lush to barren.” —The Miami Herald“Stunning. . . .These stories are so beautifully written and cross emotional barriers of time and place with such clear vision and strong command of language we can only wonder with awe what Nam Le will offer us next.” —The Oregonian“A collection that takes the reader across the globe. From Iowa to Colombia to Australia and Iran, the characters in Le’s stories each shape the world around them. In each story, the protagonists create a new atmosphere. . . .While Le is a writer who seems to be interested in the issues of the world, he is also a writer interested in the young. . . . Le does not downplay the lives of his children as fiction often does when portraying younger characters but presents them with a seriousness and intelligence that is refreshing. . . . The Boat is an impressive debut from a writer with a lot more to give. A writer to be remembered.”—Marion Frisby, The Denver Post“Powerful . . . Lyrical . . . Devastating . . ....

See all Editorial Reviews

Product details

File Size: 638 KB
Print Length: 289 pages
Publisher: Vintage; 1 edition (May 13, 2008)
Publication Date: May 13, 2008
Sold by: Random House LLC
Language: English
ASIN: B0018ZDAUS
Text-to-Speech: Enabled

X-Ray:

Not Enabled

Word Wise: Enabled
Lending: Not Enabled
Screen Reader: Supported

Enhanced Typesetting: Enabled

Amazon Best Sellers Rank: #395,870 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #197 in Historical Australian & Oceanian Fiction
- #243 in Historical Chinese Fiction
- #316 in Asian American Literature

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GVC

Hero Takes A Journey

February 25, 2017

Format: Kindle EditionVerified Purchase

The Boat is a collection of human short stories with the common theme âhero takes a journeyâ although set in different cultures. Each story focuses on a critical point in the characters' lives. Leâs stories explore aspects of the human condition that cross cultural boundaries. He describes himself ( in Wikipedia) as a more lyrical minded writer rather than one who is more structurally oriented because he started out writing poetry and reading poetry.
In the first story Le himself is the main character. He is in the US, Iowa writerâs workshop, when his father visits from Australia. Le struggles to find a way of relating to his father after long absences and is unsure how he will appreciate his work as an author. All the words of the title Love and Honor and Pity and Pride and Passion and Sacrifice are explored in this story.
In the second story Cartagena the Hero Ron is trying to extract himself from a dangerous situation in a dangerous city Medellin in Columbia and go to Cartagena. I havenât been to Medellin and I understand Le hasnât either. It reads like hell on earth (as does Tehran in another story). I do however understand and appreciate the human side of Ron. His concern for his mother and his mixed relationship with his girl friend are all things that happen across countries and cultures. Other stories relate to relationships between father and daughter, female friends, mother and son and finally two women and one child in a desperate boat journey out of communist Vietnam.
The final story âThe Boatâ is the most graphic and disturbing. Clearly the boat journey from Vietnam is something Le knows a lot about. It raises questions about the morality of those of us in Australia and other western countries that are now turning their backs on people in such dire situations in need of help.
I normally donât appreciate short stories, as the limited space does not allow a lot of character development. The Boat collection however is one of the best I have read and I found myself getting very involved with each story.

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It's a Mystery

Daring Shapeshifting

February 24, 2013

Format: Kindle EditionVerified Purchase

The scope of this writing is tremendously impressive. David Mitchell notwithstanding, there aren't many modern writers who can globetrot as believably as Nam Le. Le possesses the strange ability to slip between skins with ease, and though the two strongest stories in the collection ("Love and Honor and Pity and Pride and Compassion and Sacrifice" and "Halflead Bay") seem to reside closest to his own experiences, the range and reliability of the voices in this collection is nothing short of breathtaking.

I will be eagerly waiting for all of Nam Le's future work. This is a brilliant debut, and there's nowhere to go from here but up.

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Katelyn

Terrible.

January 16, 2019

Format: PaperbackVerified Purchase

Waste of time and money. Didn't relate to the course material and was purchased for class. Awful.

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Brit

Five Stars

August 2, 2017

Format: PaperbackVerified Purchase

thank you!

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Comment

Stephen Balbach

The Boat

July 11, 2008

Format: HardcoverVerified Purchase

Steve Koss wrote an insightful review here earlier suggesting a connection between this collection of seven short-stories and ethnic literature. Nam Le is Vietnamese, but only the first and last story are directly about the Vietnamese experience, the rest are a seemingly random mix of people and events from all over the world. Nam Le tells us he "could totally exploit the Vietnamese thing. But instead, [he] choose to write about lesbian vampires and Colombian assassins, and Hiroshima orphans - and New York painters with hemorrhoids." What do Colombian assassins, Hiroshima orphans and hemorrhoid infected New Yorkers have to do with the Vietnamese experience?

Everything. The problem is, as Le says, ethnic literature is "a license to bore. The characters are always flat, generic." Readers are either numb to it because of stereotypes or mental blockage, or have no frame of reference. And as Le's first story shows, the writer can't help but be exploitative in the process. However it is still possible to convey the feelings of the experience through a proxy, and so all of these stories immerse the reader with emotions in preparation for the last story about Vietnamese boat people.

It's been said there is no loneliness more acute than that experienced around other people, in particular family. The New York artist who waits alone in the restaurant for the daughter who never comes; the high school football star who fights his personal battles, but even with his father taking the punches, still faces it alone; the Colombian assassin who faces his destiny without his friends help; in each of the stories the main character is isolated and alienated and faces a great trauma. The experience of reading this book reminded me of when I was child, lost in the crowd, my parents seemingly gone forever and the world a difficult and cold place.

By the last story, "The Boat", the readers sensibilities have been so finely shaped to this sense of alienation, fear and dread that Nam Le is able to convey the Vietnamese boat people "ethnic experience" in a fresh and immediate way. The details and facts are conveyed through the words on the page, but the feeling and sense of experience comes from within. Using this as an interpretive framework, it no longer seems like a collection of short stories but a work greater than its elements, a masterful use of the short story format to touch on universal human experience.

2 people found this helpful

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D. Brunskill

Problematic Poetry

October 18, 2008

Format: HardcoverVerified Purchase

Beautifully written stories. But...so intense that they actually hurt, and take a while to "get over." Literally speaking, that's a good thing! I'm still reeling. But I know that these stories are well worth reading, and that this author is very, very gifted. It's not often that I encounter a "short story" author who can affect me, as a reader, to such a degree. This collection is for serious readers and/or serious students of literature: it's that good.

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G Harris

Brilliant writing

March 3, 2014

Format: PaperbackVerified Purchase

well conceived group of short stories,all exhibiting great construction,exquisite use of language and intrigue.Treat yourself to an inspiring read.I look forward to reading more by Nam Le

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Comment

Joy Russell

A little unauthentic

October 8, 2013

Format: Kindle EditionVerified Purchase

I was looking forward to reading this book because I thought Nam Le would have a fresh new writing style to reflect a new age of Australian authors. However, I found him writing stories that did not resonate as real or true to me. Settings in South America and Japan seemed unbelievable. In the Australian short story about the young boy with a mother with multiple sclerosis, the suffering the mother endured seemed so unlike my experience of supporting a multiple sclerosis sufferer. His writing is fluid and enjoyable though.

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#####EOF##### TCP/IP Illustrated, Volume 1: The Protocols (2nd Edition) (Addison-Wesley Professional Computing Series): Kevin R. Fall, W. Richard Stevens: 0785342336313: Amazon.com: Books

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TCP/IP Illustrated, Volume 1: The Protocols (2nd Edition) (Addison-Wesley Professional Computing Series) 2nd Edition

by Kevin R. Fall (Author), W. Richard Stevens (Author)

55 customer reviews

ISBN-13: 978-0321336316

ISBN-10: 0321336313

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“For an engineer determined to refine and secure Internet operation or to explore alternative solutions to persistent problems, the insights provided by this book will be invaluable.”

—Vint Cerf, Internet pioneer

TCP/IP Illustrated, Volume 1, Second Edition, is a detailed and visual guide to today’s TCP/IP protocol suite. Fully updated for the newest innovations, it demonstrates each protocol in action through realistic examples from modern Linux, Windows, and Mac OS environments. There’s no better way to discover why TCP/IP works as it does, how it reacts to common conditions, and how to apply it in your own applications and networks.

Building on the late W. Richard Stevens’ classic first edition, author Kevin R. Fall adds his cutting-edge experience as a leader in TCP/IP protocol research, updating the book to fully reflect the latest protocols and best practices. He first introduces TCP/IP’s core goals and architectural concepts, showing how they can robustly connect diverse networks and support multiple services running concurrently. Next, he carefully explains Internet addressing in both IPv4 and IPv6 networks. Then, he walks through TCP/IP’s structure and function from the bottom up: from link layer protocols–such as Ethernet and Wi-Fi–through network, transport, and application layers.

Fall thoroughly introduces ARP, DHCP, NAT, firewalls, ICMPv4/ICMPv6, broadcasting, multicasting, UDP, DNS, and much more. He offers extensive coverage of reliable transport and TCP, including connection management, timeout, retransmission, interactive data flow, and congestion control. Finally, he introduces the basics of security and cryptography, and illuminates the crucial modern protocols for protecting security and privacy, including EAP, IPsec, TLS, DNSSEC, and DKIM. Whatever your TCP/IP experience, this book will help you gain a deeper, more intuitive understanding of the entire protocol suite so you can build better applications and run more reliable, efficient networks.

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Editorial Reviews

Review

"What makes this book unique, in my estimation, is the level of detail and attention to history. It provides background and a sense for the ways in which solutions to networking problems have evolved. It is relentless in its effort to achieve precision and to expose remaining problem areas. For an engineer determined to refine and secure Internet operation or to explore alternative solutions to persistent problems, the insights provided by this book will be invaluable. The authors deserve credit for a thorough rendering of the technology of today’s Internet."

—Vint Cerf

Praise for the First Edition of TCP/IP Illustrated, Volume 1: The Protocols . . .

“This is sure to be the bible for TCP/IP developers and users. Within minutes of picking up the text, I encountered several scenarios that had tripped up both my colleagues and myself in the past. Stevens reveals many of the mysteries once held tightly by the ever-elusive networking gurus. Having been involved in the implementation of TCP/IP for some years now, I consider this by far the finest text to date.”

—Robert A. Ciampa, network engineer, Synernetics, division of 3COM

“While all of Stevens’ books are readable and technically excellent, this new opus is awesome. Although many books describe the TCP/IP protocols, Stevens provides a level of depth and real-world detail lacking from the competition. He puts the reader inside TCP/IP using a visual approach and shows the protocols in action.”

—Steven Baker, networking columnist, Unix Review

“TCP/IP Illustrated, Volume 1, is an excellent reference for developers, network administrators, or anyone who needs to understand TCP/IP technology. TCP/IP Illustrated is comprehensive in its coverage of TCP/IP topics, providing enough details to satisfy the experts while giving enough background and commentary for the novice.”

—Bob Williams, vice president, Marketing, NetManage, Inc.

“. . . [T]he difference is that Stevens wants to show as well as tell about the protocols. His principal teaching tools are straightforward explanations, exercises at the ends of chapters, byte-by-byte diagrams of headers and the like, and listings of actual traffic as examples.”

—Walter Zintz, UnixWorld

“Much better than theory only. . . . W. Richard Stevens takes a multihost-based configuration and uses it as a travelogue of TCP/IP examples with illustrations. TCP/IP Illustrated, Volume 1, is based on practical examples that reinforce the theory—distinguishing this book from others on the subject, and making it both readable and informative.”

—Peter M. Haverlock, consultant, IBM TCP/IP Development

“The diagrams he uses are excellent and his writing style is clear and readable. In sum, Stevens has made a complex topic easy to understand. This book merits everyone’s attention. Please read it and keep it on your bookshelf.”

—Elizabeth Zinkann, sys admin

“W. Richard Stevens has produced a fine text and reference work. It is well organized and very clearly written with, as the title suggests, many excellent illustrations exposing the intimate details of the logic and operation of IP, TCP, and the supporting cast of protocols and applications.”

—Scott Bradner, consultant, Harvard University OIT/NSD

About the Author

Kevin R. Fall, Ph.D., has worked with TCP/IP for more than twenty-five years, and served on the Internet Architecture Board. He co-chairs the Internet Research Task Force’s Delay Tolerant Networking Research Group (DTNRG), which explores networking in extreme and performance-challenged environments. He is an IEEE Fellow.

W. Richard Stevens, Ph.D. (1951-1999), was the pioneering author who taught a generation of network professionals the TCP/IP skills they’ve used to make the Internet central to everyday life. His best-selling books included all three volumes of TCP/IP Illustrated (Addison-Wesley), as well as UNIX Network Programming (Prentice Hall).

Series: Addison-Wesley Professional Computing Series
Hardcover: 1056 pages
Publisher: Addison-Wesley Professional; 2 edition (November 25, 2011)
Language: English
ISBN-10: 0321336313
ISBN-13: 978-0321336316
Product Dimensions: 7.3 x 2.3 x 9.3 inches
Shipping Weight: 3.3 pounds (View shipping rates and policies)
Average Customer Review: 55 customer reviews
Amazon Best Sellers Rank: #72,570 in Books (See Top 100 in Books)
- #3 in TCP-IP
- #71 in Computer Networking (Books)

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Juliett Lay

tedious description, and more importantly, MANY MISTAKES.

July 16, 2014

Format: HardcoverVerified Purchase

I seldom post comment on books I bought. But I would like to comment a few lines for this one, as I had very high expectation for this "second edition" before I bought it and unfortunately became very disappointed in the end.

Firstly, this book should NOT be called the second edition, as it changes tremendously comparing with the first edition, in terms of the way it is talking, the way of describing concepts and process, and the organization of the knowledge content themselves, etc. It would be better if the author can just pick up a new name for this book to start its edition one, and not take advantage of the first edition's reputation. I saw other buyers mentioned the same in their comments as well. In my humble opinion, the descriptions is too tedious/verbose sometimes that make the keys of concepts inevident.

Secondly, there are MANY MISTAKES in this book. Below are some examples:

on page 39, the binary representation for the prefix /27 is incorrect.
on page 59, the description under figure 2-14 says the prefix is ff3x:0011/32, which is apparently wrong. It should be ff3x:00ff/32.
on page 85, in the figure, the 802.1p/q tag was marked as 0/2, it should be 0/4, or put the protocol ID part out of this part if you want to make it 0/2(usually it is defined as 0/4. Search the wikipedia you will see correct/much-better figure).
on page 87, the author shows a calculation for crc. Did anyone verify that? it went totally wrong in the end. How could deviding 10000 by 10011 give you a quotient 1???

At this point, I even persuaded myself to jump onto the tcp part, which I expect to see better description. However, I was frustrated again by the evident mistake below. And this is NOT a typo because the same mistake persists from here to the following pages:

In the figure on the page 596, the last ACK packet should have Seq = K + 1, NOT K. Fin sent before will consume one sequence number. If you do not believe this, check the wireshark snapshot the author pasted on page 603. You will then see the correct/expected behavior.

Anyway, the time when I read the first edition was about 8 years ago. It does not include the CWR and ECE flags for tcp, or other relatively new features. So I was planning to review the knowledge and learn some new stuffs through the second edition. But the overall low quality disappoints me much. I do not trust this book anymore, and will go to RFCs for reference.

Hopefully this review helps you, at least save you some time from being puzzled by those mistakes I mentioned.

35 people found this helpful

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Comment

Perry Smith

Must have

December 29, 2013

Format: HardcoverVerified Purchase

The three "Stevens" books probably do not need any recommendation or review. They are industry standard books used by countless programmers doing serious networking work. They are the gold standard of "the truth" and present the material as a technical reference book should. The text is clear while still discussing the details to their full depth. I've never heard anyone give anything but high praises to these books.

The new author is just a knowledgeable as Steven and the material in the book is needed for today's networking. I would tend to shy away from the first edition and buy this one instead.

7 people found this helpful

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Lawrence Maturo

Truly A Labor Of Love

July 8, 2014

Format: Kindle EditionVerified Purchase

This book is both exhaustive and exhausting, but you can't stop reading it. It covers every single detail of TCP/IP, including history. There is nothing you would like to know that's not in the book. And every chapter is filled with references at the end, so you don't have to take his word for it. This is a work that makes the entire internet transparent. It includes both TCP/IP and the devices that carry it, and what standards cover what, and where to get them. Also it's not without humor. What about an RFC on TCP/IP over carrier pigeon. Narrow band and high latency, but hard to hack.

2 people found this helpful

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Grigory T.

May be hard to read for a begginer

January 26, 2014

Format: HardcoverVerified Purchase

Beware - this book is completely different from the famous Stevens' first edition.
Almost all material was updated by another author, and the writing style has changed - this second edition is no longer for a begginer (unlike the first edition).
This is a good book though, as it's well packed with a lot of contemporary information, but it may not be easy to read.
As for me, I dislike the discussion of IPv6 side-by-side with IPv4. I would prefer separate chapters on IPv6.

9 people found this helpful

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Comment

Luciano A.

Everything about TCP/IP in a single place

April 3, 2013

Format: Kindle EditionVerified Purchase

This book explain with full detail every aspect of TCP/IP core protocols. I usually read RFCs and can tell you that this book don't loose any detail while adding clarity and examples to each topic, it also includes lot of further references if you want to dig more.
Second edition may not be so well written and clear as other Steven's books but is up to date and I appreciate that.
Highly recommended for anyone working (seriously) with TCP/IP.

4 people found this helpful

Helpful

Comment

Bruce Boyes

I needed to understand ARP and DHCP at the lowest ...

March 26, 2016

Format: HardcoverVerified Purchase

I needed to understand ARP and DHCP at the lowest levels to debug and write drivers for that. This book fits that need well.

2 people found this helpful

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Soren

Excellent. A must buy for anyone looking to get good at networking.

July 31, 2018

Format: PaperbackVerified Purchase

Excellent book for anyone trying to dig deeper into networking. Definitely a great book to get better at understanding the inner workings. Very easy read, while still providing lots of information.

Helpful

Comment

Friedrich Clausen

Great update to classic tome.

March 8, 2015

Format: Kindle EditionVerified Purchase

I have found this updated version very useful and, while some have complained that IPv6 is intermingled, I think this was a great decision as it is should become standard knowledge rather than some appendix people ignore. The depth of detail is balanced enough for my needs and the references are very useful should something pique my interest enough to look further. Finally I found the security chapters particularly useful since, like IPv6, security should be a foundational topic for network books.

One person found this helpful

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#####EOF##### Amazon.com: Are We Safe Enough?: Measuring and Assessing Aviation Security (9780128114759): Mark G. Stewart, John Mueller: Books

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Are We Safe Enough?: Measuring and Assessing Aviation Security 1st Edition

by Mark G. Stewart (Author), John Mueller (Author)

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ISBN-13: 978-0128114759

ISBN-10: 0128114754

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Are We Safe Enough? Measuring and Assessing Aviation Security explains how standard risk analytic and cost-benefit analysis can be applied to aviation security in systematic and easy-to-understand steps. The book evaluates and puts into sensible context the risks associated with air travel, the risk appetite of airlines and regulators and the notion of acceptable risk. It does so by describing the effectiveness, risk reduction and cost of each layer of aviation security, from policing and intelligence to checkpoint passenger screening to arming pilots on the flight deck.

Quantifies the risks, costs and benefits of various aviation security methods, including policing, intelligence, PreCheck, checkpoint passenger screening, behavioral detection, air marshals and armed pilots
Focuses on security measures that reduce costs without reducing security, including PreCheck, Federal Flight Deck Officer program and Installed Physical Secondary Barriers
Features risk-reduction insights with global applications that are fully transparent, and fully explored through sensitivity analysis

Editorial Reviews

Review

"A brilliant look at aviation security through a unique prism of academia and statistics, Are We Safe Enough? provokes the reader to think about transportation security in a different light. By focusing purely on numbers, the authors remove emotion from the conversation and show what works and what doesn't.Overall, this book is well written, exceptionally researched, and guaranteed to make security professionals reevaluate the way we protect and the way we should protect civil aviation." --Security Management

About the Author

Mark G. Stewart is Professor of Civil Engineering and Director of the Centre for Infrastructure Performance and Reliability at The University of Newcastle in Australia. He is co-author of Probabilistic Risk Assessment of Engineering Systems (Chapman & Hall, 1997, and Japanese edition in 2003), and has published more than 400 technical papers and reports. He has 30 years of experience in probabilistic risk and vulnerability assessment of infrastructure and secuÂ¬rity systems that are subject to man-made and natural hazards. Professor Stewart has received extensive Australian Research Council support, including an Australian Professorial Fellowship, to develop probabilistic risk-modelling techniques for infrastructure subject to military and terrorist explosive blasts, and cost-benefit assessments of aviation security, policing, and counter-terrorism protective measures for critical infrastructure.

John Mueller is Woody Hayes Senior Research Scientist at the Mershon Center for International Security Studies and Professor of Political Science at Ohio State University, as well as a Senior Fellow at the Cato Institute. He is the author of over a dozen books, several of which have won prizes. Among the most recent of these: War and Ideas (2011) Atomic Obsession: Nuclear Alarmism from Hiroshima to Al-Qaeda (2010), Overblown (2006), and The Remnants of War (2004). He has also edited the web book, Terrorism Since 9/11: The American Cases (2017). Earlier books include Capitalism, Democracy, and Ralphâs Pretty Good Grocery, Retreat from Doomsday, Astaire Dancing, and War, Presidents and Public Opinion. He has published hundreds of articles in scholarly journals and general magazines and newspapers, is a member of the American Academy of Arts and Sciences, and has been a John Simon Guggenheim Fellow.

Paperback: 268 pages
Publisher: Elsevier; 1 edition (September 26, 2017)
Language: English
ISBN-10: 0128114754
ISBN-13: 978-0128114759
Product Dimensions: 6 x 9 inches
Shipping Weight: 12.8 ounces (View shipping rates and policies)
Average Customer Review: Be the first to review this item
Amazon Best Sellers Rank: #1,336,541 in Books (See Top 100 in Books)
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#####EOF##### AWS Site Terms

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phone: (206) 266-4064
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#####EOF##### Support Technology and Programs for AWS | AWS Support

AWS Support

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AWS Support

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Customer Obsession at Work

AWS Support brings Amazonâs tradition of customer-obsession to the B2B technology world. We focus on helping you achieve the outcomes you need to make your business successful.

At AWS, Support goes beyond break-fix and issue resolution. AWS Support provides a mix of tools and technology, people, and programs designed to proactively help you optimize performance, lower costs, and innovate faster. We save time for your team by helping you to move faster in the cloud and focus on your core business.

AWS Support In Our Customers' Words

Benefits

Move Faster With AWS

Use AWS experts to quickly build up knowledge and expertise.

AWS Support helps you stay agile with architectural guidance as you build applications and solutions. Have a question or need help? Just ask - our cloud support engineers and subject matter experts are here with answers and guidance. They are looking around the corner to identify new ways AWS can help your business.

Automate Management of Your Environment

Proactively monitor your environment and automate remediation.

AWS Support provides tools such as AWS Personal Health Dashboard and AWS Trusted Advisor to help you keep your environment running optimally. These tools proactively alert you about ways to improve security, optimize performance, and reduce costs.

Focus on What Matters

Focus on your business. Let us focus on your infrastructure.

You don't have time to be worried about your cloud infrastructure. You need to manage your business and find ways to innovate. With AWS Support, you can put your energy where it belongs - with your customers and your business. We will take care of the infrastructure for you and help you to keep it running efficiently, securely, and in a manner your business demands.

Manage and Mitigate Risks

Stay secure. Avoid downtime.

Your cloud infrastructure must have airtight security and be ready for whatever your business may demand of it. AWS Support can help you maintain the strictest security standards and proactively alert you to issues that require attention. We can also help you plan to ensure you can meet the demands of your customers with architectural and operational guidance to optimize performance.

Customer Testimonials

FanDuel uses AWS Support for architectural guidance and expertise in order to focus on building value for its customers. AWS Support helps FanDuel scale up for critical events like the NFL season launch and even helped reduce infrastructure costs by 50%.

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WirelessCar partners with AWS Support to improve its architecting of applications and improve its utilization of AWS services, all while reducing costs and ensuring optimal performance.

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Pitney Bowes uses AWS Support for architectural guidance as it builds new applications, avoiding critical mistakes and designing for optimal performance. AWS Support helps Pitney Bowes create solutions that delight its customers.

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To learn more about how AWS Support helps customers achieve their objectives with AWS, see the full library of customer video testimonials.

AWS Support: Your Partner For Success

At AWS, Support goes well beyond helping you fix issues. We are determined to make our customers successful on their cloud journey and answer requests that range from answering best practices questions, guidance on configuration, all the way to break-fix and problem resolution.

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High Quality Engineers. Deep Bench of Expertise.

Highly-trained engineers, large network of subject-matter experts.

At AWS, we hire smart Cloud Support Engineers that are well versed in DevOps technologies, automation, infrastructure orchestration, configuration management and continuous integration, and who are not constrained by how âthings are usually doneâ. Cloud Support Engineers held to same standard for technical aptitude as AWS software development organization.

We also have a vast network of subject-matter experts ranging from Solutions Architects to product managers that can come off the bench to help you as needed.

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At AWS, Cloud Support Engineers do not simply follow a run-book. Rather, AWS engineers stay with Support cases from the start all the way through to resolution. This model avoids the need for escalation paths typically employed by support organizations and eliminates the need for customers to interface with multiple support engineers, which can slow down time-to-resolution and allow you to move faster in your cloud journey.

Learn About AWS Cloud Support Engineers

Scope of AWS Support

Our AWS Technical Support tiers cover development and production issues for AWS products and services, along with other key stack components:

"How to" questions about AWS services and features
Best practices to help you successfully integrate, deploy, and manage applications in the cloud
Troubleshooting API and AWS SDK issues
Troubleshooting operational or systemic problems with AWS resources
Issues with our Management Console or other AWS tools
Problems detected by EC2 health checks
A number of third-party applications such as OS, web servers, email, VPN, databases, and storage configuration

AWS Support does not include:

Code development
Debugging custom software
Performing system administration tasks
Database query tuning

#####EOF##### Overview | Cloud Computing | AWS Oil & Gas

AWS for Oil & Gas

Cloud computing to enable digital transformation and fuel innovation in Oil and Gas

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With Amazon Web Services (AWS), Oil and Gas companies can accelerate digital transformation, unleash innovation to optimize production and profitability, and improve cost and operational efficiencies necessary to compete under the pressures of todayâs global energy market.

AWS allows Oil and Gas companies to streamline and reinvent complex, customized IT workflows to thrive despite low prices, shrinking margins, and market volatility. Explorers can extract deep insights faster to improve field planning, geoscientists can run more demanding HPC workflows and identify potential reservoirs faster and cheaper, and refineries can optimize production with predictive maintenance and predictive inventory planning. Energize the Oil & Gas business and kick start innovation with Amazon Web Services.

What's new

Machine Learning Applications in Exploration & Production

AWS advanced machine learning and HPC tools allow oil and gas companies to reduce the time required for seismic data processing from several months to a few days, creating more accurate 3D models of rock and fluid properties that far surpass traditional methods. Learn more about how to tranform exploration and production with AWS machine learning.

Download the solution brief »

IDC Technology Spotlight: Cloud in the Transformation of Upstream Oil and Gas

There are various approaches and strategies that lead to an acceleration of digital transformation in oil and gas companies. IDC believes that cloud-enabled technologies provide the ability to rapidly develop applications that can access data across the enterprise. This Technology Spotlight will focus on showing how leading oil and gas companies should prioritize transformational technologies.

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Porosity Prediction Demo

Porosity, permeability, density, and other rock properties are critical pieces of data required to effectively locate and extract oil. However, explorers have incomplete data across horizons because data is collected only at well locations. Machine Learning (ML) can help automatically enhance incomplete datasets by predicting missing data based on known data, thereby accelerating time to first oil and optimizing production. Learn how AWS machine learning can be used to generate and enhance incomplete datasets.

Watch the demo »

High Performance Computing (HPC) eBook

With HPC on AWS, you can start innovating the way you have always wanted. Whether it is finding oil (seismic processing), producing oil (reservoir simulation), or optimizing production (wellbore, pipeline and facilities simulation), you can stop worrying about the constraints of High Performance Computing (HPC) infrastructure cost and capacity.

Download the eBook »

Explore benefits in the Oil & Gas Value Chain

Upstream

Accelerate deeper geological insights to improve decision making in exploration and production, and yield more productive oil extraction. Automate time-consuming processes, and achieve results with greater accuracy.

Sample Use Cases:

Drilling. Reduce drilling hazards, improve productivity and efficiency.
Reservoir Simulation. Run models faster and cheaper, optimize extraction, collaborate with ease, improve safety, improve project execution efficiencies.

Midstream

AWS provides the tools to help midstream pipeline operators increase operational efficiency and compliance in areas such as LNG and gas transportation, pipeline integrity management, and workforce management.

Sample Use Cases:

Predictive Maintenance. Reduce downtime due to corrosion and other pipeline issues.
Pipeline Monitoring. Ingest data from SCADA to effectively manage and optimize pipelines.

Downstream

AWS provides tools to help refineries, petroleum delivery operators, gas retailers, and other downstream oil and gas companies improve cost and operational efficiencies and improve profitability.

Sample Use Cases:

Single View of the Customer. Collect valuable customer preferences and purchasing data to better engage your customers at every gas station location.
Trading Optimization. Optimize trading and risks analysis with HPC on AWS.

Benefits

Reduce time to first oil

Accelerate and optimize exploration, drilling, and production by using AWS machine learning and big data tools to quickly and easily extract powerful insights from structured and unstructured seismic data. This automates time-consuming, error-prone manual tasks, and improves the speed and accuracy of decision making.

More sensors and data

AWS IoT allows you to improve operational efficiencies by connecting sensors at scale, such as with predictive maintenance of pumps in the oilfield and in retail gas stations. And with nearly limitless high performance computing resources, you can quickly process and visualize this growing set of data to generate insights to improve profitability and competitive differentiation.

Reduce the cost per barrel

The AWS global footprint, with its efficiencies from automation and economies of scale, passes on savings to you while reducing management overhead, so you can improve profitability in spite of shrinking budgets. From ML to IoT to storage services, leverage a broad range of AWS services to lower costs while increasing production.

Security and compliance

As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations. AWS supports a broad and complete set of security and compliance programs including NIST and ISO, which help protect business critical data like seismic and trading. The AWS Cloud spans the globe, making it easy to meet regional compliance and data residency requirements.

The Digital Oilfield of the Future: Solutions for the Modern Oil & Gas Company

Learn how oil and gas companies of all sizes are partnering with AWS to run business and technical workflow sin upstream, midstream, and downstream.

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Case studies

Leading oil & gas companies are innovating with Amazon Web Services.

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Get started

Leading companies in the oil & gas industry are already using AWS. Contact our experts and start your own AWS Cloud journey today.

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#####EOF##### AWS Analyst Reports

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AWS Content

Whitepapers | Explore a host of documents written by independent analysts, the AWS team, and the AWS community on product introductions, framework overviews, and more.

AWS in the News | Catch up on the latest AWS news announced by Forbes, TechCrunch, ZDNet, and other media outlets.

What's New | Stay up to date on the latest AWS product and service announcements.

AWS Podcast | Listen and learn about AWS with hosts Simon Elisha & Jeff Barr. Each podcast includes AWS news, tech tips, and interviews with startups, AWS partners, and AWS employees.

Peer Reviews

With the rapid growth of review platforms for software vendors among individual developers, start-ups, and enterprises around the world, customers are asking for AWS ratings backed by other users. Peer review platforms like G2 Crowd and Gartner Peer Insights allow veteran and new AWS users to join a growing, dynamic community to answer questions, share ideas, and learn about new services and best practices.

G2 Crowd | Compare AWS services and read reviews by customers based on satisfaction ratings and user experiences.

Gartner Peer Insights | Read what enterprise customers and IT professionals think about AWS on this review platform hosted by Gartner Research.

#####EOF##### Quick Starts - Amazon Web Services (AWS)

AWS Quick Starts

Automated, gold-standard deployments in the AWS Cloud

Quick Starts are built by AWS solutions architects and partners to help you deploy popular technologies on AWS, based on AWS best practices for security and high availability. These accelerators reduce hundreds of manual procedures into just a few steps, so you can build your production or test environment quickly and start using it immediately.

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Let My People Go Surfing: The Education of a Reluctant Businessman--Including 10 More Years of Business Unusual by [Chouinard, Yvon]

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Yvon Chouinard

Let My People Go Surfing: The Education of a Reluctant Businessman--Including 10 More Years of Business Unusual Kindle Edition

by Yvon Chouinard (Author), Naomi Klein (Foreword)

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In this newly revised 10th anniversary edition, Yvon Chouinard--legendary climber, businessman, environmentalist, and founder of Patagonia, Inc.--shares the persistence and courage that have gone into being head of one of the most respected and environmentally responsible companies on earth.

From his youth as the son of a French Canadian handyman to the thrilling, ambitious climbing expeditions that inspired his innovative designs for the sport's equipment, Let My People Go Surfing is the story of a man who brought doing good and having grand adventures into the heart of his business life-a book that will deeply affect entrepreneurs and outdoor enthusiasts alike.

"This is the story of an attempt to do more than change a single corporation--it is an attempt to challenge the culture of consumption tat is at the hear of the global ecological crisis." --From the Foreword by Naomi Klein, bestselling author of This Changes Everything

Length: 269 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
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Editorial Reviews

Review

"Wonderful... a moving autobiography, the story of a unique business, and a detailed blueprint for hope." --Jared Diamond, Pulitzer Prize-winning author of Guns, Germs, and Steel

"For everyone who is alternately outraged and depressed by the wave of greed that has been the hallmark of corporate America in the twenty-first century, there is a name that inspires hope: Yvon Chouinard....Unique and compelling." --San Francisco Chronicle

"Chouinard's biography, Let My People Go Surfing, reveals a fascinating and colorful character....For all of our sakes, it seems the responsible thing for companies to do is follow Chouinard's ascent." --USA Today

"No matter what you do, you will find essential guidance and inspiration in Let My People Go Surfing." --Dave Foreman, The Rewilding Institute

About the Author

Yvon Chouinard is the founder and owner of Patagonia, Inc., based in Ventura, California. He began in business by designing, manufacturing, and distributing rock climbing equipment in the late 1950s. His tinkering led to an improved ice ax that is the basis for modern ice ax design. In 1964 he produced his first mail-order catalog, a one-page mimeographed sheet containing advice not to expect fast delivery during climbing season. In 2001, along with Craig Mathews, owner of West Yellowstone's Blue Ribbon Flies, he started One Percent for the Planet, an alliance of businesses that contribute at least 1 percent of their net annual sales to groups on a list of researched and approved environmental organizations.

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Product details

File Size: 142838 KB
Print Length: 269 pages
Page Numbers Source ISBN: 0143109677
Publisher: Penguin Books; Updated 2nd edition edition (September 6, 2016)
Publication Date: September 6, 2016
Sold by: Penguin Group (USA) LLC
Language: English
ASIN: B01A6EQFZ8
Text-to-Speech: Enabled

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Lending: Not Enabled
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Amazon Best Sellers Rank: #15,752 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #10 in Conservation
- #14 in Environmentalist & Naturalist Biographies
- #18 in Environmental Economics (Books)

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La Fata

This book will make you question about how you earn your living and what more you could be doing to improve the environment

February 26, 2018

Format: PaperbackVerified Purchase

I loved this book so much. I loved the way Yvon talks us through his own personal history, and walks us through the history of the company. The sweet anecdotes about creative problem solving (i.e. How do you get a retailer who is very behind on payments to settle up? Send their next order (of scrap metal) COD)) were my favorite parts. I also loved being able to read the mission statements, particularly the one the senior team member cobbled together over lunch while they were on a retreat in Patagonia. I loved the way the book was written in conversational English. And I loved the excerpts from ads and the excerpts from that Alpine Climber's magazine. Such beautiful writing!

One note to Yvon/Patagonia suppliers: The commercial wool industry is BRUTAL. I like that you're selling recycled wool sweaters, and would love to see you totally abandon any partnerships with commercial wool farmers. In order to sheer sheep at a rate that's profitable (most get paid per sheep rather than by the hour) they have to hurry through the sheering process. That means lots of cuts for the sheep. Plus there are some types of sheep that are prone to parasites in the folds of their rear. In order to combat that, farmers simply slice off a chunk of that area so there are no longer folds. OUCH. Again, commercial wool farmers, BAD.

Sorry, I got off on a tangent. I loved this book. It held my attention all the way through. I had trouble putting it down, actually. Yvon's voice is very sweet and actually has inspired me to ask myself, am I doing all I can for the environment? AND am I working at a job/in an industry that I'm proud of? Could I be doing something more fulfilling (for my own quality of life, and the environment?).

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Dr Chris Hansen,DC

Pedantic, preachy, hypocritical - but mostly right.

December 26, 2018

Format: Kindle EditionVerified Purchase

While I agree with the vast majority of the environmental postures of the author I find his position as an owner of a for profit B Corp on a global scale hypocrisy. While he touts a 1% sin tax to compensate for the ecological damage his firm promotes their continued mass production and globalist policies are much the same as ânon-environmentalistâ practices. There are some golden nuggets of truth with regard to employee practices - ie donât work for a firm you donât believe in, childcare local to the parent, and showers in the offices. But I have a really tough time believing a guy who writes that he hates the corporate culture but leads a large corporation. His thinking that he is somehow âdifferentâ is a symptom of the entitlement driving many of the really bad business decisions made by people who came of age in the late 1960s. The dichotomy is obvious to external observers but denied by the observed. I think the eco friendly posturing is just marketing to get âthe dirtbagâ (authorâs words) to keep being the core of his customer base.

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pascal

Brilliant

November 12, 2017

Format: Kindle EditionVerified Purchase

If not for its literary eloquence or sophistication, this is a precious read for the sobering lessons on environmentalism that too many of us can use more reminders on. Personally I find the arguments for minimalism and simplicity helpful, and they tie in perfectly with the overall tones of the book - living responsibly both as individuals and as a society. Every choice we make as a consumer has a consequence that's not necessarily reflected by its price tag, and it's something we should all be aware of. Thanks Yvon for sharing your wisdom!

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Emily

A solid book. Yvon Chouinard has a unique perspective ...

February 25, 2018

Format: Audible AudiobookVerified Purchase

A solid book. Yvon Chouinard has a unique perspective on the world and company building. There is a lot of admire about his philosophies. I do wish there were many more companies in the world as mission driven as Patagonia. But, this ends up not really being a business book nor really as into the culture of Patagonia as I'd hope. It ends up sort of being a biography with more details on the company's activism.

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Adam

Great Memoir - great company.

July 28, 2014

Format: PaperbackVerified Purchase

Insomuch as this is a memoir and not a business management book, it's fantastic! The first part is pretty much all about the Yvon's early life (which makes me feel like less of a man lol), the history of Chouinard Equipment (future Black Diamond) and Patagonia, and the history of a few of it's offshoot sister companies. The 2nd part of the book describes various philosophies that Patagonia tries to employ in it's practices and dealings.

I found this history particularly interesting, especially given that Yvon had absolutely no business background, and throughout the book is very upfront on this fact. Describing the (sometimes comical) struggles he encountered, restructures needed and addressed, and culture developed, was very enjoyable.

Insomuch as the philosophies section is concerned, if you're familiar at all with Patagonia and it's dealings this will be pretty straightforward to you. I did enjoy the HR/benefits section, and was intrigued about Chouinard's take on innovation (borrowing, stealing, repurposing ideas ='s fast and effective) vs. invention (can be great, but takes time, is unpredictable, and doesn't guarantee value added vs. just cool). I think it was telling though that by far the longest section of this book in this section is the Environmental Philosophies section. Everyone who knows Patagonia knows this is important to them, and I thought it was telling of them to give it so much space in his book. Some of the figures - if somewhat outdated - are interesting (and scary).

If you're looking for a 'how to do business [like Patagonia]' rule by rule book, this probably wouldn't be the best starting point. For that, maybe try Yvon's other book, The Responsible Company. However, if you accept that this is a memoir about a man and the development of a company that cares deeply about it's value and understands the struggles therein, this book is great!

3 people found this helpful

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ZVarwig

Not for Me

September 4, 2018

Format: Kindle EditionVerified Purchase

Beginning was interesting, certainly a unique philosophy on business, culture and working with people.

Overly preachy for the second half of the book, covering some of the same ground over and over. I still learned from it, changed a little of my perspective, but not what I had expected.

This did make me respect Patagonia as a company though, and for some, I think they'll find a lot of validation in this book for sustainable practices.

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A refreshing pulse point therapy for in-flight or office use. Features sense invigorating, mind pacifying and aromatic uplift properties. Helps comfort and relieve stressed feelings during a flight journey. Eases fatigue after a hard working day in the office. Perfectly fits into handbag with its pocket-size.

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#####EOF##### Darkness Visible: A Memoir of Madness - Kindle edition by William Styron. Health, Fitness & Dieting Kindle eBooks @ Amazon.com.

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William Styron

Darkness Visible: A Memoir of Madness Kindle Edition

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The New York Times–bestselling memoir of crippling depression and the struggle for recovery by the Pulitzer Prize–winning author of Sophie’s Choice.

In the summer of 1985, William Styron became numbed by disaffection, apathy, and despair, unable to speak or walk while caught in the grip of advanced depression. His struggle with the disease culminated in a wave of obsession that nearly drove him to suicide, leading him to seek hospitalization before the dark tide engulfed him.

Darkness Visible tells the story of Styron’s recovery, laying bare the harrowing realities of clinical depression and chronicling his triumph over the disease that had claimed so many great writers before him. His final words are a call for hope to all who suffer from mental illness that it is possible to emerge from even the deepest abyss of despair and “once again behold the stars.”

This ebook features a new illustrated biography of William Styron, including original letters, rare photos, and never-before-seen documents from the Styron family and the Duke University Archives.

Length: 98 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
Page Flip: Enabled	Audible book: Audible book Switch back and forth between reading the Kindle book and listening to the Audible book with Whispersync for Voice. Add the Audible book for a reduced price of $7.49 when you buy the Kindle book. Available

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Editorial Reviews

Amazon.com Review

In 1985 William Styron fell victim to a crippling and almost suicidal depression, the same illness that took the lives of Randall Jarrell, Primo Levi and Virginia Woolf. That Styron survived his descent into madness is something of a miracle. That he manages to convey its tortuous progression and his eventual recovery with such candor and precision makes Darkness Visible a rare feat of literature, a book that will arouse a shock of recognition even in those readers who have been spared the suffering it describes.

From Publishers Weekly

A meditation on Styron's ( Sophie's Choice ) serious depression at the age of 60, this essay evokes with detachment and dignity the months-long turmoil whose symptoms included the novelist's "dank joylessness," insomnia, physical aversion to alcohol (previously "an invaluable senior partner of my intellect") and his persistent "fantasies of self-destruction" leading to psychiatric treatment and hospitalization. The book's virtues--considerable--are twofold. First, it is a pitiless and chastened record of a nearly fatal human trial far commoner than assumed--and then a literary discourse on the ways and means of our cultural discontents, observed in the figures of poet Randall Jarrell, activist Abbie Hoffman, writer Albert Camus and others. Written by one whose book-learning proves a match for his misery, the memoir travels fastidiously over perilous ground, receiving intimations of mortality and reckoning delicately with them. Always clarifying his demons, never succumbing to them in his prose, Styron's neat, tight narrative carries the bemusement of the worldly wise suddenly set off-course--and the hard-won wisdom therein. In abridged form, the essay first appeared in Vanity Fair.
Copyright 1990 Reed Business Information, Inc.

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File Size: 3725 KB
Print Length: 98 pages
Publisher: Open Road Media (May 4, 2010)
Publication Date: May 4, 2010
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00BBPVYUS
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Amazon Best Sellers Rank: #12,761 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #1 in Two-Hour Biography & Memoir Short Reads
- #6 in Depression (Kindle Store)
- #10 in Two-Hour Self-Help Short Reads

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Sal Banuelos

A very good description of what depression is

November 25, 2016

Format: Kindle EditionVerified Purchase

I choose to read this book with hopes to understand depression. My son died of it at seventeen years old by taking his life, and we didn't suspect that he had it, he hid it so well. We were in total darkness of his suffering so when in his goodbye note he says that he was so tired of it we were struck by lightning of sorrow and confusion. This book explains really well this sickness, and has helped me tremendously to understand signs and actions that my son presented and did.

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Famous author's account on his own struggle with depression.

October 28, 2016

Format: PaperbackVerified Purchase

If topic of depression is what you want to read and learn about, this is a must read book. It can be read in a couple of hours but it will have a lasting effect for the rest of your life. This book is defining depression as a mental illness from a point of view of a person who suffered from it greatly to the point of nearly committing suicide. It does not matter if as a reader you suffer from the illness, or you know of someone who is affected by it, or you simply want to learn about the illness that is affecting a great number of population.

William Styron is such a fine writer that his honest essay of how he was affected by a disease is deeply moving. I was touched by his honesty about it from the first page of the book. By the time I reached chapter Five I was crying because everything, every word, every emotion, every conclusion he drew was so close to what it feels to suffer from an illness like this that has been stigmatized form the beginning of times. I was shaken to the core of my being.

I read many of Mr. Styron's book, but this is the only time I read his own account on what it means to be mentally ill and how it affects not only a person who is suffering from the illness, but also that person's immediate family, friends and professional contacts. It is my belief that every medical professional working and helping mentally ill should read this book so they can truly understand the inner works of what it feels like to be depressed written by one of the finest minds and writers of out time. As much as this book shook me up emotionally, I am grateful that there was a person like Mr. Styron who has a courage to write it.

42 people found this helpful

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Dan Baxter

A Letter from the Cavern of Depression

August 10, 2016

Format: Kindle EditionVerified Purchase

William Styron, as so many authors, fought depression throughout his life. This book originally was a lecture. It is a letter from within the cavern of depression told by a brilliant writer who wants all of us to understand the land in which he dwells. I have read it twice--both times at a single sitting. It is the best description of depression I have read. I found myself on most of the pages (to a lesser degree than Styron) and followed his lantern toward the exit from the darkness. Prozac came on the market about the time this book was published. It would have been interesting to read his report on the effects of the new generation of antidepressants on his illness.
If you live with depression or have a loved one you would like to understand better, DARKNESS VISIBLE is an excellent place to start.

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Stiff Milton

I let my parents read it and they're not dumb by any means

November 5, 2017

Format: PaperbackVerified Purchase

Well written, by the same author that wrote Sophie's Choice, about his struggle with deep depression. I would give it 5 stars personally, but giving it 4 stars just as a warning to others out there that this book isn't for everyone. I let my parents read it and they're not dumb by any means, this book is just very intellectual, but it may go over many people's heads. It describes the crippling feelings of depression perfectly to me, but it may not describe it perfectly to others. So, if you have someone in your family that's really "street smart" that's trying to understand your depression, this isn't the book for them. But if you have someone in your family that is trying to understand your depression that is very "book smart" this is the book for them. I hope this makes sense and helps.

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DEE ANN R LOSO

Major Depression

December 17, 2017

Format: Kindle EditionVerified Purchase

I believe it takes great strength of character to discuss, let alone memorialize, oneâs journey through the quagmire that is major depression. There is still such stigma attached to any mental illness that one hesitates to discuss it with anyone.

As Mr. Styron rightly stated, everyoneâs journey through depression is different. His experience is not necessarily the experience of another suffering from the same disease. I would highly recommend this book to anyone suffering from mental illness, as well as those close to them, so they may see that they are not alone and that there is hope.

12 people found this helpful

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Ellis D.

A Supportive Analysis of Depression. Worth the effort to read this one.

July 28, 2018

Format: HardcoverVerified Purchase

If you have ever experienced depression at the deepest of levels, you will find some very needed support from this book. It is very introspective and insightful. And, it shows that you are not the only person to ever feel the despair and hopelessness of depression. I feel this author understands the aspects of this disease better than any other so-called expert in the field of psychiatry.

9 people found this helpful

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Book Lover

A remarkable book for both people who have and have not experienced depression

May 4, 2015

Format: Kindle EditionVerified Purchase

This book was positively remarkable. Having gone into a depression this year for the first time in my life, I was looking for books that described other people's journey's to that dark, despairing place. Knowing that Styron was a remarkable writer was one reason to buy the book, but also knowing that he CAME OUT of his depression enough to write about it revealed that the book would be hopeful rather than only despairing.

I have recommended this book to many people since reading it, to both friends who have never been depressed and to the clinicians who are helping me through this difficult experience. I plan to read it again very soon primarily because I think it is a masterpiece of language.

I recommend it to anyone who appreciates truly magnificent writing or to those who would like to understand more about one person's experience both experiencing and conquering depression.

20 people found this helpful

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Love my Kindle

Excellent

August 7, 2016

Format: Kindle EditionVerified Purchase

Absolutely, essentially excellent book (to me). Author Styron describes, expertly, the nature and experience of depression as no one can except one who has suffered it. It gave me such a leap forward and a depth of understanding of depression itself in regards to myself that i shall appreciate for the rest of my life. I will reread and share the contents, I'm sure, with everyone who will listen. Its a short book and for some reason I got a Kindle edition at a discount. But it's worth buying the hardcover which I will. If I could find an autographed copy I would be grateful. As it is I'll be grateful I found it.

9 people found this helpful

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March 2019 | PDF
Describes how a T2 Standard instance earns CPU credits, how launch credits are granted, and how those launch and earned CPU credits are spent.

Best Practices for Deploying Microsoft SQL Server
on AWS
March 2019 | PDF
Guidance and best practices for deploying Microsoft SQL Server on AWS.

Homelessness and Technology
March 2019 | PDF
Best practices for how communities can use technology to prevent and combat homelessness.

Leveraging Amazon Chime Voice Connector for SIP Trunking
March 2019 | PDF
Describes the features and benefits of Amazon Chime Voice Connector, a service that carries your voice traffic over the internet and elastically scales to meet your capacity needs.

File Gateway for Hybrid Cloud Storage Architectures
March 2019 | PDF
Overview and best practices for building hybrid environments using AWS Storage Gateway in a file gateway configuration.

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Introduction to AWS

Overview of Amazon Web Services (December 2018) HTML | PDF
- Overview of all AWS services.

AWS Well-Architected Framework (November 2018) PDF
- Overview of the Well-Architected Framework to validate your architecture.

An Overview of the AWS Cloud Adoption Framework (February 2017) PDF
- Framework to help you be successful adopting AWS.

AWS Security Best Practices (August 2016) PDF
- Authoritative guidance for security when using AWS services.

AWS Storage Services Overview (December 2016) PDF
- Overview of storage solutions available from AWS.

How AWS Pricing Works (June 2018) PDF
- Guidance on using the AWS Simple Monthly Calculator to estimate monthly AWS usage costs.

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Cloud Computing Economics

How AWS Pricing Works (June 2018) PDF
- Guidance on using the AWS Simple Monthly Calculator to estimate monthly AWS usage costs.

Laying the Foundation: Setting Up Your Environment for Cost Optimization (March 2018) HTML | PDF
- Discusses the pillars of cost optimization and the key mechanisms for achieving them.

Cost Management in the AWS Cloud (March 2018) HTML | PDF
- Provides an overview of many AWS cost management tools, as well as organizational best practices for creating a cost-conscious mindset.

Amazon EC2 Reserved Instances and Other Reservation Models (March 2018) HTML | PDF
- Discusses Amazon EC2 Reserved Instances and reservation models for other AWS services.

Leveraging Amazon EC2 Spot Instances at Scale (March 2018) HTML | PDF
- Provides an overview of Amazon EC2 Spot Instances, as well as best practices for using them effectively.

Creating a Culture of Cost Transparency and Accountability (March 2018)
HTML | PDF
- Discusses the tools, best practices, and tips that your organization can use to create a lean cost culture and maximize the benefits of the cloud.

Automating Elasticity (March 2018) HTML | PDF
- Discusses how you can automate elasticity to get the most value out of your AWS resources and optimize costs.

Right Sizing: Provisioning Instances to Match Workloads (March 2018) HTML | PDF
- Discusses how to provision instances to match your workload performance and capacity requirements to optimize costs.

AWS Storage Optimization (March 2018) HTML | PDF
- Discusses how to choose and optimize AWS storage services to meet your data storage needs and help you save costs.

10 Considerations for a Cloud Procurement (March 2017) PDF
- A top 10 list of cloud procurement considerations for public sector.

Maximizing Value with AWS (February 2017) PDF
- Achieve Total Cost of Operation Benefits Using Cloud Computing

AWS Well-Architected Framework - Cost Optimization Pillar (July 2018) PDF
- Details for validating the cost/value aspects of your architecture.

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Security and Compliance

Essentials & Best Practices

AWS Well-Architected Framework - Security Pillar (July 2018) PDF
- Details for validating the security aspects of your architecture.

Architecting for Genomic Data Security and Compliance in AWS (December 2014) PDF

Introduction to Auditing the Use of AWS (October 2015) PDF
- Auditing security checklist

Automating Governance on AWS (August 2015) PDF

AWS Answers to Key Compliance Questions (January 2017) PDF

AWS Best Practices for DDoS Resiliency (December 2018) PDF

AWS Certifications, Programs, Reports, and Third-Party Attestations (March 2017) PDF

AWS Key Management Service Best Practices (April 2017) PDF

AWS Operational Resilience (March 2019) PDF

AWS Risk & Compliance (May 2017) PDF

AWS Risk and Compliance Overview (January 2017) PDF

AWS Security Best Practices (August 2016) PDF

AWS: Overview of Security Processes (May 2017) PDF

AWS Security Checklist PDF

Breaking Intrusion Kill Chains with AWS (February 2019) PDF
Breaking Intrusion Kill Chains with AWS Reference Material (February 2019) PDF

Introduction to AWS Security (July 2015) PDF

Introduction to AWS Security Processes (June 2016) PDF

NIST Cybersecurity Framework (CSF) (January 2019) PDF

Overview of AWS Security - Analytics, Mobile, and Application Services (June 2016) PDF

Overview of AWS Security - Application Services (June 2016) PDF

Overview of AWS Security - Compute Services (June 2016) PDF

Overview of AWS Security - Database Services (June 2016) PDF

Overview of AWS Security - Network Services (August 2016) PDF

Overview of AWS Security - Storage Services (June 2016) PDF

Secure Content Delivery with CloudFront (November 2016) PDF

Encrypting Data at Rest (November 2014) PDF

Security at Scale: Governance in AWS (October 2015) PDF

Security at Scale: Logging in AWS (October 2015) PDF

AWS Governance at Scale (November 2018) HTML | PDF

CSA Consensus Assessments Initiative Questionnaire (May 2017) PDF

Government

Architecting for HIPAA Security and Compliance on AWS (November 2017) PDF

Criminal Justice Information Service Compliance on AWS (March 2017) PDF

DoD-Compliant Implementations in the AWS Cloud (April 2015) PDF

Understanding the ASDâs Cloud Computing Security for Tenants in the Context of AWS (June 2017) PDF

Using AWS in the Context of NCSC UKâs Cloud Security Principles (October 2016) PDF

Using AWS in the Context of UK Healthcare IG SoC Process (May 2016) PDF

Guides & Workbooks

AWS Response to CACP Information and Communication Technology Sub-Committee (May 2017) PDF

AWS User Guide to Financial Services Regulations & Guidelines in Hong Kong - Insurance Authority (October 2017) PDF

AWS User Guide to Financial Services Regulations & Guidelines in Hong Kong - Monetary Authority (November 2017) PDF

AWS User Guide to Financial Services Regulations & Guidelines in Singapore (July 2017) PDF

Considerations for Using AWS Products in GxP Systems (January 2016) PDF

Federal Financial Institutions Examination Council (FFIEC) Audit Guide (October 2015) PDF

Guidance for Trusted Internet Connection (TIC) Readiness on AWS (February 2016) PDF

Introduction to AWS Security by Design (November 2015) PDF

MPAA Content Security Model (March 2015) | Best Practices (April 2015)

Regulation Systems Compliance and Integrity Considerations for the AWS Cloud (November 2017) PDF

U.S. Securities and Exchange Commissionâs (SEC) Office of Compliance Inspections and Examinations (OCIE) Cybersecurity Initiative Audit Guide (October 2015) PDF

Privacy

Using AWS in the Context of Common Privacy & Data Protection Considerations (May 2018) PDF

Using AWS in the Context of Australian Privacy Considerations (May 2018) PDF

Using AWS in the Context of Hong Kong Privacy Considerations (May 2018) PDF

Using AWS in the Context of Malaysian Privacy Considerations (May 2018) PDF

Using AWS in the Context of Japan Privacy Considerations (May 2018) PDF

Using AWS in the Context of New Zealand Privacy Considerations (May 2018) PDF

Using AWS in the Context of Singapore Privacy Considerations (May 2018) PDF

Using AWS in the Context of Philippines Privacy Considerations (May 2018) PDF

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Framework and Methodologies

AWS Well-Architected Framework

AWS Well-Architected Framework (November 2018) PDF
- Overview of the Well-Architected Framework to validate your architecture.

AWS Well-Architected Framework - Cost Optimization Pillar (July 2018) PDF
- Details for validating the cost/value aspects of your architecture.

AWS Well-Architected Framework - Operational Excellence Pillar (July 2018) PDF
- Details for validating the operational aspects of your architecture.

AWS Well-Architected Framework - Performance Efficiency Pillar (July 2018) PDF
- Details for validating the performance aspects of your architecture.

AWS Well-Architected Framework - Security Pillar (July 2018) PDF
- Details for validating the security aspects of your architecture.

AWS Well-Architected Framework - Reliability Pillar (September 2018) PDF
- Details for validating the reliability aspects of your architecture.

AWS Well-Architected Framework - HPC Lens (November 2018) PDF
- Details for ensuring your HPC workloads are architected according to best practices.

AWS Well-Architected Framework - Serverless Applications Lens (November 2018) PDF
- Details for ensuring your serverless applications are architected according to best practices.

AWS Well-Architected Framework - IoT Lens (November 2018) PDF
- Details for ensuring your IoT applications are architected according to best practices.

AWS Cloud Adoption Framework

An Overview of the AWS Cloud Adoption Framework (February 2017) PDF
- Framework to help customers be successful adopting AWS.

AWS Cloud Adoption Framework: Security Perspective (June 2016) PDF
- Preparing your security team for AWS cloud adoption.

DevOps

Running Containerized Microservices on AWS (November 2017) PDF
- Guidance for application lifecycle management, security, and architectural software design patterns for container-based applications on AWS.

Microservices on AWS (September 2017) HTML | PDF
- Using AWS to empower your organization to run microservices at high scale.

Infrastructure as Code (July 2017) PDF
- Leverage the capabilities of AWS using Infrastructure as Code to support DevOps initiatives.

Practicing Continuous Integration and Continuous Delivery on AWS (June 2017) PDF
- Learn about the features and benefits of using continuous integration/continuous delivery (CI/CD) and AWS tooling in your software development environment.

Jenkins on AWS (May 2017) HTML | PDF
- Two specific approaches to deploying the Jenkins open-source automation server on AWS.

Import Windows Server to Amazon EC2 with PowerShell (February 2017) PDF
- Learn how to use AWS VM Import/Export to import custom Windows Server images into Amazon EC2.

Blue/Green Deployments on AWS (August 2016) PDF
- Overview, techniques, and best practices for implementing a Blue/Green deployment strategy.

Introduction to DevOps on AWS (December 2014) PDF
- Primer for using a DevOps approach with AWS.

Development and Test on AWS (November 2012) PDF
- Software Development Life Cycle test environments using AWS services.

Operations

ITIL Event Management in the Cloud: An AWS Cloud Adoption Framework Addendum (January 2017) PDF
- Best practices for using AWS for ITIL event management in hybrid clouds.

ITIL Asset and Configuration Management in the Cloud (January 2017) PDF
- An approach to ITIL asset and configuration management when using AWS.

Serverless

Serverless Architectures with AWS Lambda (November 2017) PDF
- Recommendations and best practices for building your serverless applications on AWS.

Optimizing Enterprise Economics with Serverless Architectures (October 2017) PDF
- Using serverless architectures to architect reactive, event-based systems and quickly deliver cloud-native microservices at a fraction of conventional costs.

AWS Serverless Multi-Tier Architectures: Using Amazon API Gateway and AWS Lambda (November 2015) PDF
- Design patterns for serverless solutions.

Security Overview of AWS Lambda (March 2019) PDF
- Take a deep dive into the AWS Lambda service through a security lens to get a well-rounded picture of the service, as well as deepening your understanding of AWS Lambda.

Serverless Streaming Architectures and Best Practices (June 2018) PDF
- Explore three stream processing patterns using a serverless approach.

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Solutions by Application

Backup & Recovery

Backup and Recovery Approaches Using AWS (June 2016) PDF
- Guidance for creating a backup and recovery solution that meets your RTO and RPO requirements.

Building Fault-Tolerant Applications on AWS (October 2011) PDF
- Using AWS service features to create fault-tolerant solutions.

Big Data & Analytics

Big Data Analytics Options on AWS (December 2018) PDF
- Overview of big data options for architects, data scientists, and developers.

Lambda Architecture for Batch and Stream Processing (October 2018) PDF
- Using AWS Spark Streaming and Spark SQL to implement a lambda design pattern.

Best Practices for Deploying Alteryx Server on AWS (August 2018) PDF
- Learn how to use Alteryx Server to provide a scalable platform that helps create analytical insights and empowers analysts and business users across your organization.

Streaming Data Solutions on AWS with Amazon Kinesis (July 2017) PDF
- Learn how to use Amazon Kinesis Streams, Amazon Kinesis Firehose, and Amazon Kinesis Analytics to implement real-time applications and about common design patterns using these services.

Sizing Cloud Data Warehouses (January 2019) PDF
- Learn how to determine an appropriate configuration for your migration to a cloud data warehouse.

Use Amazon Elasticsearch Service to Log and Monitor (Almost) Everything (December 2016) PDF
- Learn how to implement a serverless approach to using Amazon Elasticsearch Service and Kibana.

Building Media & Entertainment Predictive Analytics Solutions on AWS (December 2016) PDF
- Describes how a predictive analytics workload fits into the overall M&E workflows in the cloud.

Robust Random Cut Forest Based Anomaly Detection on Streams (Proceedings of the 33rd International Conference on Machine Learning; August 2016) PDF
- Using the Random Cut Forest algorithm in Amazon Kinesis analytics.

Business Applications

Best Practices for Running Oracle Siebel CRM on AWS (March 2018) PDF
- Architectural guidance and best practices for high availability, security, scalability, performance, and disaster recovery for running Oracle Siebel CRM systems on AWS.

Leveraging AWS Marketplace Storage Solutions for Microsoft SharePoint (January 2018) HTML | PDF
- Walks through the deployment and configuration of SoftNAS Cloud NAS for Microsoft SharePoint.

WordPress: Best Practices on AWS (February 2018) PDF
- System admin guidance for running WordPress on AWS.

SAP HANA on AWS Operations Overview Guide (December 2017) PDF
- Best practices for deployment, operations, and management of SAP HANA systems on AWS.

Infrastructure Event Readiness (December 2018) PDF
- AWS guidelines and best practices for designing and provisioning cloud-based applications to handle planned scaling events.

Overview of Oracle E-Business Suite on AWS (May 2017) PDF
- Benefits and options for running Oracle E-Business Suite on AWS.

SoftNAS Architecture on AWS (April 2017) PDF
- Architectural considerations for deploying SoftNAS Cloud on AWS.

Best Practices for Deploying Amazon WorkSpaces (July 2016) PDF
- Best practices for deploying and managing your virtual desktop infrastructure.

SaaS Storage Strategies: Building a Multitenant Storage Model on AWS (November 2016) PDF
- Strategies for partitioning multitenant environments.

Running Adobe Experience Manager on AWS (July 2016) PDF
- Benefits and best practices for technical leaders running Adobe Experience Manager on AWS.

Estimating AWS Deployment Costs for Microsoft SharePoint Server (March 2016) PDF
- Using the AWS Simple Monthly Calculator to estimate the cost of a Microsoft SharePoint Server solution.

Modernize Your Microsoft Applications on AWS (March 2016) PDF
- Describes the benefits of operating your Microsoft applications on AWS.

SaaS Solutions on AWS: Tenant Isolation Architectures (January 2016) PDF
- SaaS deployment models using AWS and AWS Partner Network solutions.

Docker on AWS: Running Containers in the Cloud (April 2015) PDF
- Deploying and managing Docker containers at scale on AWS.

Optimizing ASP.NET with C++ AMP on the GPU (April 2015) PDF | Sample Code
- Running MVC web apps on GPUs for matrixed multiplication.

Choosing the Operating System for Oracle Workloads on Amazon EC2 (December 2014) PDF
- Operating selection for Oracle solutions on AWS.

Database & Database Applications

Best Practices for Deploying Microsoft SQL Server on AWS (March 2019) PDF
- Guidance and best practices for deploying Microsoft SQL Server on AWS.

Comparing the Use of Amazon DynamoDB and Apache HBase for NoSQL (November 2018) PDF
- Matching your data use case to available options.

Strategies for Migrating Oracle Databases to AWS (August 2018) PDF
- Guidance on preferred methods for migrating Oracle databases to AWS.

Provisioning Oracle Wallets and Accessing SSL/TLS-Based Endpoints on Amazon RDS for Oracle (February 2018) PDF
- How to extend outbound network access on your Amazon RDS for Oracle database instances to connect securely to remote, SSL/TLS-based endpoints.

Best Practices for Running Oracle Database on AWS (January 2018) HTML | PDF
- Guidance and best practices for running Oracle databases on AWS.

Optimizing MySQL Running on Amazon EC2 Using Amazon EBS (September 2017) PDF
- A description of the features of EBS volumes as well as deployment options and configurations for MySQL on Amazon EC2.

Database Caching Strategies Using Redis (May 2017) PDF
- An overview of database caching strategies and implementation approaches that address the limitations and challenges associated with disk-based databases.

Running Neo4j Graph Databases on AWS (May 2017) PDF
- An overview of the Neo4j NoSQL graph database and best practices for its implementation on the AWS Cloud.

Installing JD Edwards EnterpriseOne on Amazon RDS for Oracle (December 2016) PDF
- A step-by-step guide for deploying JD Edwards EnterpriseOne using Amazon RDS for Oracle.

Deploying Microsoft SQL Server on AWS (July 2016) PDF
- Guidance for running SQL Server databases on Amazon RDS or Amazon EC2.

Determining the IOPS Needs for Oracle Database on AWS (December 2018) PDF
- Guidance for sizing your Oracle Database workloads on AWS.

Data Warehousing on AWS (March 2016) PDF
- AWS services and design patterns for modern data warehousing and analytic solutions.

Best Practices for Migrating from RDBMS to Amazon DynamoDB (March 2015) PDF
- Identifying and migrating Relational Database Management System (RDBMS) databases to DynamoDB.

Configuring Amazon RDS as an Oracle PeopleSoft Database (April 2017) PDF
- Best practices for configuring Amazon RDS for Oracle Database as a backend database for Oracle PeopleSoft Enterprise.

The Total Cost of (Non) Ownership of a NoSQL Database Cloud Service (March 2012) PDF
- Calculating cost and value of a NoSQL database environment.

DevOps

Microservices on AWS (September 2017) HTML | PDF
- Using AWS to empower your organization to run microservices at high scale.

Infrastructure as Code (July 2017) PDF
- Leverage the capabilities of AWS using Infrastructure as Code to support DevOps initiatives.

Practicing Continuous Integration and Continuous Delivery on AWS (June 2017) PDF
- Learn about the features and benefits of using continuous integration/continuous delivery (CI/CD) and AWS tooling in your software development environment.

Jenkins on AWS (May 2017) HTML | PDF
- Two specific approaches to deploying the Jenkins open-source automation server on AWS.

Import Windows Server to Amazon EC2 with PowerShell (February 2017) PDF
- Learn how to use AWS VM Import/Export to import custom Windows Server images into Amazon EC2.

Introduction to DevOps on AWS (December 2014) PDF
- Primer for using a DevOps aproach with AWS.

Enterprise

Establishing Enterprise Architecture on AWS (March 2018) HTML | PDF
- AWS best practices and services that support enterprise architecture activities.

Active Directory Domain Services on AWS (December 2018) PDF
- Best practices for designing Active Directory Domain Services (AD DS) architecture in Amazon Web Services (AWS), including AWS Managed Microsoft AD, Active Directory on Amazon Elastic Compute Cloud (Amazon EC2) instances, and hybrid scenarios.

High Performance Computing

An Introduction to High Performance Computing on AWS (August 2015) PDF
- Overview and best practices for running HPC applications on AWS.

Internet of Things

Designing MQTT Topics for AWS IoT Core (October 2018) PDF
- Best practices for designing MQTT topics in AWS IoT Core and leveraging AWS IoT Core features with MQTT, including AWS IoT Shadow, AWS IoT Rules Engine, and AWS IoT Device Jobs.

Core Tenets of IoT (July 2017) PDF
- Guidance for using AWS services as part of an IoT strategy.

Machine Learning & Artificial Intelligence

Machine Learning Foundations: Evolution of Machine Learning and Artificial Intelligence (February 2019) PDF
- History of machine learning and artificial intelligence; overview of Amazon machine learning services.

Managing Machine Learning Projects (February 2019) PDF
- Best practices for balancing machine learning project potential with the need for guardrails.

Management

Tagging Best Practices: Implement an Effective AWS Resource Tagging Strategy (December 2018) PDF
- Develop a tagging strategy that enables you to manage your AWS resources more effectively.

Managing User Logins for Amazon EC2 Linux Instances (September 2018) PDF
- Automate the process to grant and revoke login access to users across multiple Amazon EC2 Linux instances.

Building a Secure, Approved AMI Factory Process Using Amazon EC2 Systems Manager (SSM), AWS Marketplace, and AWS Service Catalog (November 2017) PDF
- Outlines a process using the best practices for building and maintaining Approved AMIs through Amazon EC2 Systems Manager and delivering them to your teams using AWS Service Catalog.

Strategies for Managing Access to AWS Resources in AWS Marketplace (July 2016) PDF
- Describes how AWS Marketplace applications can use AWS Identity and Access Management (IAM) for authentication.

Use AWS Config to Monitor License Compliance on Amazon EC2 Dedicated Hosts (April 2016) PDF
- Configuring AWS Config and AWS Config Rules to monitor license compliance.

Migration

Migrating to Apache HBase on Amazon S3 on Amazon EMR (October 2018) PDF
- Overview and guidance in the migration of an on-premises or HDFS backed Apache HBase cluster to Apache HBase on Amazon S3.

Migrating Oracle Database Workloads to Oracle Linux on AWS (March 2018) PDF
- Overview of migration paths and methods available between different operating systems to Oracle Linux on AWS.

AWS Best Practices for Oracle PeopleSoft (December 2017) PDF
- Learn best practices for moving Oracle PeopleSoft applications to AWS and understand how to leverage AWS for all PeopleSoft applications.

AWS Migration Whitepaper (March 2018) PDF
- Learn methods and best practices for migrating your applications and IT assets to AWS.

AWS Cloud Transformation Maturity Model (September 2017) PDF
- Maps the maturity of an IT organizationâs process, people, and technology through the four stages of an AWS cloud journey.

Migrating Microsoft Azure SQL Databases to Amazon Aurora (August 2017) PDF
- Migrating multi-tenant Microsoft Azure SQL databases to Amazon Aurora using SQL Server Integration Service and Amazon S3.

Move Amazon RDS MySQL Databases to Amazon VPC using Amazon EC2 ClassicLink and Read Replicas (July 2017) PDF
- Detailed guidance for migrating Amazon RDS MySQL databases to Amazon VPC.

Migrating AWS Resources to a New Region (July 2017) PDF
- Options and methods for migrating services to different AWS regions.

Amazon Aurora Migration Handbook (May 2017) PDF
- Best practices for planning, executing, and troubleshooting database migrations to Amazon Aurora.

Best Practices for Migrating MySQL Databases to Amazon Aurora (October 2016) PDF
- Using Amazon Relational Database Service (Amazon RDS) to migrate databases to Amazon Aurora.

Migrating Applications to AWS: Guide and Best Practices (December 2016) PDF
- A guide to using the AWS Schema Conversion Tool and AWS Database Migration Service to migrate your on-premises database to Amazon RDS.

AWS Database Migration Service Best Practices (August 2016) PDF
- Best practices for using the AWS Database Migration Service.

Migrating Your Databases to Amazon Aurora (June 2016) PDF
- Migrating your MySQL-compatible databases to Amazon Aurora through Amazon RDS.

An Overview of AWS Cloud Data Migration Services (May 2016) PDF
- Approaches, options, and tradeoffs for AWS data migration solutions.

A Practical Guide to Cloud Migration: Migrating Services to AWS (December 2015) PDF
- Tips and tricks for moving from an on-premise environment to the AWS Cloud.

Performance at Scale with Amazon ElastiCache (May 2015) PDF
- In-memory caching for better application performance and value.

Overview of Deployment Options on AWS (March 2015) PDF
- Options for provising infrastructure and deploying applications to AWS.

Migrating Your Existing Applications to the AWS Cloud (October 2010) PDF
- Phase-driven approach to cloud migration with three example scenarios.

Security

Security of AWS CloudHSM Backups (December 2017) PDF
- Provides an in-depth look at the security mechanisms in place around the backup and restore functionality of AWS CloudHSM.

Use AWS WAF to Mitigate OWASP's Top 10 Web Application Vulnerabilities (July 2017) PDF
- Using AWS WAF to mitigate the application vulnerabilities that are defined in the Open Web Application Security Project (OWASP) Top 10 list of most common categories of application security flaws.

Cross-Domain Solutions on AWS (December 2016) PDF
- Best practices for deploying a cross-domain solution using AWS services.

Single Sign-On: Integrating AWS, OpenLDAP, and Shibboleth (April 2015) PDF
- Integrating AWS IAM and LDAP for single sign-on solution.

Using Windows Active Directory Federation Services (ADFS) for Single Sign-On to EC2 (March 2010) PDF
- Single sign-on for hybrid environment.

Websites

Web Application Hosting in the AWS Cloud: Best Practices (September 2017) PDF
- Creating available and scalable web hosting solutions using AWS services.

Hosting Static Websites on AWS: Prescriptive Guidance (February 2019) PDF
- Architectural guidance for developing, deploying, and managing static websites on AWS.

The Total Cost of (Non) Ownership of Web Applications in the Cloud (August 2012) PDF
- Calculating total costs of using AWS services.

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Solutions by Industry

Ad Serving

Building a Real-Time Bidding Platform on AWS (February 2016) PDF
- Designing guidance for real-time bidding solutions for the digital advertising industry.

Education

Setting Up Multiuser Environments (for Classroom Training and Research) (October 2013) PDF
- Different approaches for setting up isolated environments in educational environments.

Electronic Design Automation (EDA)

Optimizing Electronic Design Automation (EDA) Workflows on AWS (September 2018) PDF
- Overview of the EDA workflow and the specific AWS architectural components to maximize EDA workflows.

Financial Services

AWS User Guide to Financial Services Regulations and Guidelines in Hong Kong (October 2017) PDF
- User guide for Authorized Insurers (AIs) licensed by the Hong Kong Insurance Authority (IA) as they accelerate their use of AWS Cloud services.

Financial Services Grid Computing on AWS (January 2016) PDF
- Best practices for using AWS for grid computing in the financial industry.

Gaming

Introduction to Scalable Gaming Patterns on AWS (September 2017) PDF
- Overview of AWS services for building and delivering scalable, reliable, and cost effective cloud-enabled solutions for common gaming workloads.

Optimizing Multiplayer Game Server Performance on AWS (April 2017) PDF
- Learn how to optimize your Amazon EC2 Linux multiplayer game server to achieve the best performance.

Government

5 Ways the Cloud Can Drive Economic Development (August 2018) PDF
- Overview of the enterprise-level benefits of the cloud, as well as the residual impact on economic development.

Digital Transformation Checklist: Using Technology to Break Down Innovation Barriers in Government (December 2017) PDF
- Provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.

How Cities Can Stop Wasting Money, Move Faster, and Innovate (January 2016) PDF
- Strategic guidance for local and regional governments looking to use AWS services.

Homelessness and Technology (March 2019) PDF
- Best practices for how communities can use technology to prevent and combat homelessness.

Media & Entertainment

Building Media & Entertainment Predictive Analytics Solutions on AWS (December 2016) PDF
- Describes how a predictive analytics workload fits into the overall M&E workflows in the cloud.

Telecom

Leveraging Amazon Chime Voice Connector for SIP Trunking (March 2019) PDF
- Describes the features and benefits of Amazon Chime Voice Connector, a service that carries your voice traffic over the internet and elastically scales to meet your capacity needs.

Real-Time Communication on AWS (October 2018) PDF
- Best practices for designing highly available and scalable real-time communication (RTC) workloads on AWS.

A Platform for Computing at the Mobile Edge: Joint Solution with HPE, Saguna, and AWS (February 2018) PDF
- Learn the value of a standards-based computing platform at the mobile network edge, with use cases and a reference architecture.

WeDo Telecom RAID Risk Management Solution in the AWS Cloud (July 2018) PDF
- Use cases, reference Architecture and benefits of Telecom revenue assurance and fraud management solutions on AWS Cloud.

Amdocs Optima Digital Customer Management and Commerce Platform in the AWS Cloud (February 2018) PDF
- Reference Architecture and benefits of the Amdocs Optima Platform on the AWS Cloud.

Overview of the Samsung Push to Talk (PTT) Solution on AWS (October 2017) PDF
- Provides an architectural overview for running the Samsung Push to Talk (PTT) solution suite on AWS.

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Products

Compute

Understanding T2 Standard Instance CPU Credits (March 2019) PDF
- Describes how a T2 Standard instance earns CPU credits, how launch credits are granted, and how those launch and earned CPU credits are spent.

Oracle WebLogic Server 12c on AWS (December 2018) PDF
- Guidance on how to deploy Oracle WebLogic Server 12c-based applications on AWS.

Extend Your IT Infrastructure with Amazon Virtual Private Cloud (December 2018) PDF
- Secure connections to AWS services using Amazon Virtual Private Cloud.

Hybrid Cloud DNS Solutions for Amazon VPC (November 2018) PDF
- Provides solutions for organizations that need to perform DNS name resolution of both Amazon VPC and on-premises workloads.

Demystifying the Number of vCPUs for Optimal Workload Performance (September 2018) PDF
- Scientific methodology and detailed examples for benchmarking CPU performance for different CPU generations.

Financial Services Grid Computing on AWS (January 2016) PDF
- Best practices for using AWS for grid computing in the financial industry.

Lambda Architecture for Batch and Real-Time Processing on AWS with Spark Streaming and Spark SQL (May 2015) PDF
- Using AWS Spark Streaming and Spark SQL to implement a lambda design pattern.

Storage & Content Delivery

Amazon Elastic File System: Choosing Between Different Throughput and Performance Mode (July 2018) PDF
- best practices for running network shared file systems on the AWS cloud platform.

Building Big Data Storage Solutions (Data Lakes) for Maximum Flexibility (July 2017) HTML | PDF
- Options and best practices for building your Amazon S3-based data lake.

File Gateway for Hybrid Cloud Storage Architectures (March 2019) PDF
- Overview and best practices for building hybrid environments using AWS Storage Gateway in a file gateway configuration.

Backup and Recovery Approaches Using AWS (June 2016) PDF
- Guidance for creating a backup and recovery solution that meets your RTO and RPO requirements.

AWS Storage Services Overview (December 2016) PDF
- Overview of storage solutions available from AWS.

Using AWS for Disaster Recovery (October 2014) PDF
- Providing business continuity with AWS services.

Database

Amazon Aurora MySQL Database Administrator's Handbook: Connection Management (March 2019) PDF
- Best practices for managing database connections, setting server connection parameters, and configuring client programs, drivers, and connectors.

Migrating Microsoft Azure SQL Databases to Amazon Aurora (August 2017) PDF
- Migrating multi-tenant Microsoft Azure SQL databases to Amazon Aurora using SQL Server Integration Service and Amazon S3.

Migrating Applications to AWS: Guide and Best Practices (December 2016) PDF
- A guide to using the AWS Schema Conversion Tool and AWS Database Migration Service to migrate your on-premises database to Amazon RDS.

Best Practices for Migrating MySQL Databases to Amazon Aurora (October 2016) PDF
- Using Amazon Relational Database Service (Amazon RDS) to migrate databases to Amazon Aurora.

AWS Database Migration Service Best Practices (August 2016) PDF
- Best practices for using the AWS Database Migration Service.

Strategies for Migrating Oracle Databases to AWS (August 2018) PDF
- Guidance on preferred methods for migrating Oracle databases to AWS.

Data Warehousing on AWS (March 2016) PDF
- AWS services and design patterns for modern data warehousing and analytic solutions.

Performance at Scale with Amazon ElastiCache (May 2015) PDF
- In-memory caching for better application performance and value.

Best Practices for Migrating from RDBMS to Amazon DynamoDB (March 2015) PDF
- Identifying and migrating Relational Database Management System (RDBMS) databases to DynamoDB.

Comparing the Use of Amazon DynamoDB and Apache HBase for NoSQL (November 2018) PDF
- Matching your data use case to available options.

Migrating Your Databases to Amazon Aurora (June 2016) PDF
- Migrating your MySQL-compatible databases to Amazon Aurora through Amazon RDS.

Networking

Securely Access Services Over AWS PrivateLink (January 2019) PDF
- Learn how AWS PrivateLink keeps network traffic private and allows connectivity from Amazon VPCs to services and data hosted on AWS in a secure and scalable manner.

Integrating AWS with Multiprotocol Label Switching (December 2016) PDF
- Options for integrating AWS into your current MPLS/WAN architecture.

Amazon Virtual Private Cloud Network Connectivity Options (January 2018) HTML | PDF
- Connecting VPCs to each other and to other remote networks.

Management Tools

Migrating AWS Resources to a New Region (July 2017) PDF
- Options and methods for migrating services to different AWS regions.

An Overview of AWS Cloud Data Migration Services (May 2016) PDF
- Approaches, options, and tradeoffs for AWS data migration solutions.

Use AWS Config to Monitor License Compliance on Amazon EC2 Dedicated Hosts (April 2016) PDF
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#####EOF##### Amazon.com: Black Box Thinking: Why Most People Never Learn from Their Mistakes--But Some Do eBook: Matthew Syed: Kindle Store

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Nobody wants to fail. But in highly complex organizations, success can happen only when we confront our mistakes, learn from our own version of a black box, and create a climate where it’s safe to fail.
　
We all have to endure failure from time to time, whether it’s underperforming at a job interview, flunking an exam, or losing a pickup basketball game. But for people working in safety-critical industries, getting it wrong can have deadly consequences. Consider the shocking fact that preventable medical error is the third-biggest killer in the United States, causing more than 400,000 deaths every year. More people die from mistakes made by doctors and hospitals than from traffic accidents. And most of those mistakes are never made public, because of malpractice settlements with nondisclosure clauses.

For a dramatically different approach to failure, look at aviation. Every passenger aircraft in the world is equipped with an almost indestructible black box. Whenever there’s any sort of mishap, major or minor, the box is opened, the data is analyzed, and experts figure out exactly what went wrong. Then the facts are published and procedures are changed, so that the same mistakes won’t happen again. By applying this method in recent decades, the industry has created an astonishingly good safety record.

Few of us put lives at risk in our daily work as surgeons and pilots do, but we all have a strong interest in avoiding predictable and preventable errors. So why don’t we all embrace the aviation approach to failure rather than the health-care approach? As Matthew Syed shows in this eye-opening book, the answer is rooted in human psychology and organizational culture.

Syed argues that the most important determinant of success in any field is an acknowledgment of failure and a willingness to engage with it. Yet most of us are stuck in a relationship with failure that impedes progress, halts innovation, and damages our careers and personal lives. We rarely acknowledge or learn from failure—even though we often claim the opposite. We think we have 20/20 hindsight, but our vision is usually fuzzy.

Syed draws on a wide range of sources—from anthropology and psychology to history and complexity theory—to explore the subtle but predictable patterns of human error and our defensive responses to error. He also shares fascinating stories of individuals and organizations that have successfully embraced a black box approach to improvement, such as David Beckham, the Mercedes F1 team, and Dropbox.

Length: 325 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
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Editorial Reviews

Review

Praise for Black Box Thinking

"Mathew Syed has issued a stirring call to redefine failure. Failure shouldn’t be shameful and stigmatizing, he explains. Instead, he shows that failure can be exciting and enlightening — an essential ingredient in any recipe for success. Full of well-crafted stories and keenly deployed scientific insights, Black Box Thinking will forever change the way you think about screwing up."
—DANIEL PINK, author of Drive and To Sell Is Human

Praise for Bounce

"Insightful and entertaining"
—DAN ARIELY, author of Predictably Irrational

"The most important book I’ve read over the past six months."
—PETER ORSZAG, economist, in The New York Times

"A fascinating subject and Syed is a dazzling writer."
—OWEN SLOT, The Times London

"Everything Mathew Syed Writes is worth reading."
—LYNN TRUSS, bestselling author of Eat, Shoots & Leaves

About the Author

Matthew Syed is a leading columnist and feature writer forThe Times. He makes authored features for the BBC current affairs programmeNewsnightand regularly appears on CNN International and World Service TV. He also gives business talks to major international corporate clients including Goldman Sachs, BP, Rolls-Royce, McKinsey, Manchester United, Oxford University and Vodafone. Before becoming a writer Matthew was the England table tennis number one for almost a decade, three times Commonwealth Champion, and he twice represented Great Britain in the Olympic Games.

Matthew Syed's first book,Bounce: The Myth of Talent and the Power of Practice, was shortlisted for the William Hill Sports Book of the Year and became a UK best-seller.

Product details

File Size: 2446 KB
Print Length: 325 pages
Publisher: Portfolio; 1 edition (November 3, 2015)
Publication Date: November 3, 2015
Sold by: Penguin Group (USA) LLC
Language: English
ASIN: B00SI0B8XC
Text-to-Speech: Enabled

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Enabled

Word Wise: Enabled
Lending: Not Enabled
Enhanced Typesetting: Enabled

Amazon Best Sellers Rank: #81,544 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #173 in Organizational Behavior
- #266 in Personal Success in Business
- #286 in Business Management (Kindle Store)

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Gadget Junkie

GREAT BOOK. HIGHLY RECOMMEND READING!

November 24, 2015

Format: Kindle EditionVerified Purchase

A colleague of mine sent me a link to a BBC article regarding this book several weeks ago. As an patented inventor and product designer I was very intrigued by the title. This is the first book I have read by this author. As I read through its pages, I found Matthew Syed's writing style to be captivating enough to keep my attention while describing events and facts which could otherwise be very dry. For that reason, I am compelled to read his other works, but merely based on the content, I have already recommended this book to dozens of people. The concept of learning from mistakes is as old as recorded history. However, if you think that is what this book is about, think again. There are many nuances to the subject matter disclosed which can be very thought provoking and enlightening. On several occasions I actually put the book down, feeling compelled to rethink dozens of situations in my own life where I have made mistakes, not learned from them and ended up repeating them, stuck in closed loop logic.
My key takeaway from reading this book is that Mr. Syed identifies a well-known flaw in humanity to which some critics at first blush might yawn and say âso what, nothing new hereâ Failure analysis has been around for centuries. Not exactlyâ¦ this book covers a lot of ground. The Black Box failure analysis model has only been in use for a very limited amount of time in human history, yielding incredible results in aviation safety used for the benefit of all humanity. Yes, individuals throughout history have used versions of failure analysis to solve issues, either for themselves or for small scale issues. But this recent model transcends others in that it truly eliminates the need or benefit of lying, omitting information or tampering with evidence. By doing so, you only perpetuate a problem which could eventually end up costing you your life or the life of your loved ones. I spoke my friend who is a pilot and Lt. Col in the US Air Force about claims in this book and he confirmed the legitimacy and efficacy of the program, stating that US Military standards are slightly different than commercial aviation, but no doubt that you are immune to prosecution and encouraged to fully disclose information, which is solely used to improve safety for not only for the military, but for the greater good of all mankind. In my mind, that is what makes it unique.
If you were to tell a pilot in 1935 that in 2015, more pilgrims would die traveling on foot to Mecca (or being politically correct, Hajj 2015), then 3 billion passengers on commercial airplanes, travelling at 575 mph, taking off and landing in everything from thunderstorms and dense fog to snow, ice and gale force winds, sometimes even banking between skyscrapers on approach, they would have looked at you as though you were insane and told you to seek immediate psychological help. But those are the facts, made possible by human beings working together using this system and for the greater good of all.

43 people found this helpful

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alex boody

Why making mistakes and failing is actually a good thing, if done properly.

February 28, 2018

Format: Audible AudiobookVerified Purchase

How should you open your book on failure? Matthew Syed felt on should examine two heart-wrenching stories with similar initial outcomes yet with vastly different responses. A healthy 37-year-old wife and mother of two goes in for a seemingly routine surgery and a typical flight from New York City, NY to Portland, OR. Both cases go, at least to those in charge during the events, inexplicably wrong incredibly fast. The mother dies and the plane crashes; but it is not what happened during these events that matters most according to Syed, it is what happens after. How you respond to those mistakes and learn from them, or donât can be the difference between future success and failure. Syed chose these two cases for several reasons most notably the divergent responses to their failure. Aviation has pioneered the process of learning from failures and healthcare failures are not typically examined willingly. A âblack box,â which is actually orange for those that donât know, is usually placed in the cockpit and tail of a plane. They monitor every input into the computers onboard, track the conversation between pilot, co-pilot and engineer, and monitor every aspect of flying the plane. These boxes are near indestructible and they are orange because aviators want to find them after the worst thing possible happens, a crash. The information contained within these boxes are scoured over after a crash and researchers glean whatever inputs they are able, so the causes of the crash can be prevented in the future. The industry learns from their mistakes so that they wonât happen again.Healthcare may not be the complete antithesis of Aviation, but itâs close. Doctors react to complications as âa one-off,â âit is just one of those things that can happen,â or âwe did the very best we could, but it just didnât work out.â Mistakes are covered up and not learned from. It is what Syed calls a âclosed-loop.â In closed-loops there is no feedback given and thus improvements are not made. According to Syed we should avoid closed-loop situations at all costs.In Black Box Thinking: Why Most People Never Learn From their Mistakesâbut Some Do Syed dissects why some companies, individuals, or industries succeed and why others fail. Syed weaves the central theme throughout each chapter with topics ranging from how the Scared Straight system actually created more future criminals than prevented, what caused one UK coach to break the Tour de France curse for British cyclists, or how David Beckham became world class at free kicks. Syed analyzes the psychology behind our fear of admitting mistakes and shows the reader why this is such a bad thing. He then demonstrates how successful companies and individuals are built on failures, more importantly learning from the failures they make. While the theme is almost overbearingly present in each chapter, Syedâs case is made within the first two chapters. The storytelling is captive and enjoyable, however reading felt as if you were being nagged by your mother about eating your vegetables. You know you should, but youâve heard it a dozen times before. By the end of this book that is how you will feel about learning from failures. It is important, you should learn how to do so, but youâve heard it a dozen times already. Black Box is an enjoyable read with interesting stories and people, but you wonât come away with a how-to on learning from your mistakes. Youâll just know you should.

4 people found this helpful

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Matthew Morine

A Needed Book For a World of Cover Up

March 16, 2016

Format: HardcoverVerified Purchase

Learning from mistakes is a valuable discipline. But it is rarely executed. The book deals with the process of dealing with mistakes. The book uses the idea of a black box that is normally found within an airplane. After there is a crash, this black box has recorded the details leading up to the destruction of the plane. Often these boxes are indestructible. The book does an excellent job of detailing the common mistakes and the normal process that occurs when mistakes are made by people. These mistakes can be fixed, but often people have an avoidance culture. Instead of admitting the mistake, the person seeks to cover up, reinterpret the details, and use avoidance language. All of these responses causes the mistake to continue. The book is an excellent read, though, for my American friends, the book is written in the King's language of Canadian spellings for some of the words. This might catch you off guard, but overall, will not effect you. The book is good for congregational leaders, because we all can make mistakes, and learning from them causes us to improve in the future, but reinterpreting them will cause hurt and fault in the congregation. Sometimes the stories seem to be retold from other sources, so some of the material might seem to be a replete from something you have read from the past, but overall, this is found in only a few spots. This is really a good book, and one that will teach you much about the process of failure and discovery.

5 people found this helpful

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Leonard A Savage

Excellent

January 31, 2016

Format: Kindle EditionVerified Purchase

I put off reading this because I thought the failure thing had been done to death. But I am soooo glad I read. Syed is a good writer and the subject material is interesting. Life is trial and error - read this book based on my recommendation and if you don't enjoy all is not lost, you've still learned to never trust one of my reviews again.

7 people found this helpful

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#####EOF##### Things Go Better With Step Functions | AWS News Blog

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Things Go Better With Step Functions

I often give presentations on Amazonâs culture of innovation, and start out with a slide that features a revealing quote from Amazon founder Jeff Bezos:

I love to sit down with our customers and to learn how we have empowered their creativity and to pursue their dreams. Earlier this year I chatted with Patrick Brandt from The Coca-Cola Company in order to learn how they used AWS Step Functions and other AWS services to support the Coke.com Vending Pass program. This program includes drink rewards earned by purchasing products at vending machines equipped to support mobile payments using the Coca-Cola Vending Pass. Participants swipe their NFC-enabled phones to complete an Apple Pay or Android Pay purchase, identifying themselves to the vending machine and earning credit towards future free vending purchases in the process

After the swipe, a combination of SNS topics and AWS Lambda functions initiated a pair of calls to some existing backend code to count the vending points and update the participantâs record. Unfortunately, the backend code was slow to react and had some timing dependencies, leading to missing updates that had the potential to confuse Vending Pass participants. The initial solution to this issue was very simple: modify the Lambda code to include a 90 second delay between the two calls. This solved the problem, but ate up process time for no good reason (billing for the use of Lambda functions is based on the duration of the request, in 100 ms intervals).

In order to make their solution more cost-effective, the team turned to AWS Step Functions, building a very simple state machine. As I wrote in an earlier blog post, Step Functions coordinate the components of distributed applications and microservices at scale, using visual workflows that are easy to build.

Coke built a very simple state machine to simplify their business logic and reduce their costs. Yours can be equally simple, or they can make use of other Step Function features such as sequential and parallel execution and the ability to make decisions and choose alternate states. The Coke state machine looks like this:

The FirstState and the SecondState states (Task states) call the appropriate Lambda functions while Step Functions implements the 90 second delay (a Wait state). This modification simplified their logic and reduced their costs. Hereâs how it all fits together:

Whatâs Next
This initial success led them to take a closer look at serverless computing and to consider using it for other projects. Patrick told me that they have already seen a boost in productivity and developer happiness. Developers no longer need to wait for servers to be provisioned, and can now (as Jeff says) unleash their creativity and pursue their dreams. They expect to use Step Functions to improve the scalability, functionality, and reliability of their applications, going far beyond the initial use for the Coca-Cola Vending Pass. For example, Coke has built a serverless solution for publishing nutrition information to their food service partners using Lambda, Step Functions, and API Gateway.

Patrick and his team are now experimenting with machine learning and artificial intelligence. They built a prototype application to analyze a stream of photos from Instagram and extract trends in tastes and flavors. The application (built as a quick, one-day prototype) made use of Lambda, Amazon DynamoDB, Amazon API Gateway, and Amazon Rekognition and was, in Patrickâs words, a âbig win and an enabler.â

In order to build serverless applications even more quickly, the development team has created an internal CI/CD reference architecture that builds on the Serverless Application Framework. The architecture includes a guided tour of Serverless and some boilerplate code to access internal services and assets. Patrick told me that this model allows them to easily scale promising projects from âa guy with a computerâ to an entire development team.

Patrick will be on stage at AWS re:Invent next to my colleague Tim Bray. To meet them in person, be sure to attend SRV306 â State Machines in the Wild! How Customers Use AWS Step Functions.

â Jeff;

#####EOF##### About AmazonSmile: Program details and FAQ

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#####EOF##### What is DevOps? - Amazon Web Services (AWS)

What is DevOps?

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DevOps Model Defined

DevOps is the combination of cultural philosophies, practices, and tools that increases an organizationâs ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.

How DevOps Works

Under a DevOps model, development and operations teams are no longer âsiloed.â Sometimes, these two teams are merged into a single team where the engineers work across the entire application lifecycle, from development and test to deployment to operations, and develop a range of skills not limited to a single function.

In some DevOps models, quality assurance and security teams may also become more tightly integrated with development and operations and throughout the application lifecycle. When security is the focus of everyone on a DevOps team, this is sometimes referred to as DevSecOps.

These teams use practices to automate processes that historically have been manual and slow. They use a technology stack and tooling which help them operate and evolve applications quickly and reliably. These tools also help engineers independently accomplish tasks (for example, deploying code or provisioning infrastructure) that normally would have required help from other teams, and this further increases a teamâs velocity.

Learn about AWS DevOps tooling and services »

Benefits of DevOps

Speed

Move at high velocity so you can innovate for customers faster, adapt to changing markets better, and grow more efficient at driving business results. The DevOps model enables your developers and operations teams to achieve these results. For example, microservices and continuous delivery let teams take ownership of services and then release updates to them quicker.

Rapid Delivery

Increase the frequency and pace of releases so you can innovate and improve your product faster. The quicker you can release new features and fix bugs, the faster you can respond to your customersâ needs and build competitive advantage. Continuous integration and continuous delivery are practices that automate the software release process, from build to deploy.

Reliability

Ensure the quality of application updates and infrastructure changes so you can reliably deliver at a more rapid pace while maintaining a positive experience for end users. Use practices like continuous integration and continuous delivery to test that each change is functional and safe. Monitoring and logging practices help you stay informed of performance in real-time.

Scale

Operate and manage your infrastructure and development processes at scale. Automation and consistency help you manage complex or changing systems efficiently and with reduced risk. For example, infrastructure as code helps you manage your development, testing, and production environments in a repeatable and more efficient manner.

Improved Collaboration

Build more effective teams under a DevOps cultural model, which emphasizes values such as ownership and accountability. Developers and operations teams collaborate closely, share many responsibilities, and combine their workflows. This reduces inefficiencies and saves time (e.g. reduced handover periods between developers and operations, writing code that takes into account the environment in which it is run).

Security

Move quickly while retaining control and preserving compliance. You can adopt a DevOps model without sacrificing security by using automated compliance policies, fine-grained controls, and configuration management techniques. For example, using infrastructure as code and policy as code, you can define and then track compliance at scale.

Why DevOps Matters

Software and the Internet have transformed the world and its industries, from shopping to entertainment to banking. Software no longer merely supports a business; rather it becomes an integral component of every part of a business. Companies interact with their customers through software delivered as online services or applications and on all sorts of devices. They also use software to increase operational efficiencies by transforming every part of the value chain, such as logistics, communications, and operations. In a similar way that physical goods companies transformed how they design, build, and deliver products using industrial automation throughout the 20th century, companies in todayâs world must transform how they build and deliver software.

How to Adopt a DevOps Model

DevOps Cultural Philosophy

Transitioning to DevOps requires a change in culture and mindset. At its simplest, DevOps is about removing the barriers between two traditionally siloed teams, development and operations. In some organizations, there may not even be separate development and operations teams; engineers may do both. With DevOps, the two teams work together to optimize both the productivity of developers and the reliability of operations. They strive to communicate frequently, increase efficiencies, and improve the quality of services they provide to customers. They take full ownership for their services, often beyond where their stated roles or titles have traditionally been scoped by thinking about the end customerâs needs and how they can contribute to solving those needs. Quality assurance and security teams may also become tightly integrated with these teams. Organizations using a DevOps model, regardless of their organizational structure, have teams that view the entire development and infrastructure lifecycle as part of their responsibilities.

DevOps Practices Explained

There are a few key practices that help organizations innovate faster through automating and streamlining the software development and infrastructure management processes. Most of these practices are accomplished with proper tooling.

One fundamental practice is to perform very frequent but small updates. This is how organizations innovate faster for their customers. These updates are usually more incremental in nature than the occasional updates performed under traditional release practices. Frequent but small updates make each deployment less risky. They help teams address bugs faster because teams can identify the last deployment that caused the error. Although the cadence and size of updates will vary, organizations using a DevOps model deploy updates much more often than organizations using traditional software development practices.

Organizations might also use a microservices architecture to make their applications more flexible and enable quicker innovation. The microservices architecture decouples large, complex systems into simple, independent projects. Applications are broken into many individual components (services) with each service scoped to a single purpose or function and operated independently of its peer services and the application as a whole. This architecture reduces the coordination overhead of updating applications, and when each service is paired with small, agile teams who take ownership of each service, organizations can move more quickly.

However, the combination of microservices and increased release frequency leads to significantly more deployments which can present operational challenges. Thus, DevOps practices like continuous integration and continuous delivery solve these issues and let organizations deliver rapidly in a safe and reliable manner. Infrastructure automation practices, like infrastructure as code and configuration management, help to keep computing resources elastic and responsive to frequent changes. In addition, the use of monitoring and logging helps engineers track the performance of applications and infrastructure so they can react quickly to problems.

Together, these practices help organizations deliver faster, more reliable updates to their customers. Here is an overview of important DevOps practices.

DevOps Practices

The following are DevOps best practices:

Continuous Integration
Continuous Delivery
Microservices
Infrastructure as Code
Monitoring and Logging
Communication and Collaboration

Below you can learn more about each particular practice.

Continuous Integration

Continuous integration is a software development practice where developers regularly merge their code changes into a central repository, after which automated builds and tests are run. The key goals of continuous integration are to find and address bugs quicker, improve software quality, and reduce the time it takes to validate and release new software updates.

Learn more about continuous integration »

Continuous Delivery

Continuous delivery is a software development practice where code changes are automatically built, tested, and prepared for a release to production. It expands upon continuous integration by deploying all code changes to a testing environment and/or a production environment after the build stage. When continuous delivery is implemented properly, developers will always have a deployment-ready build artifact that has passed through a standardized test process.

Learn more about continuous delivery and AWS CodePipeline »

Microservices

The microservices architecture is a design approach to build a single application as a set of small services. Each service runs in its own process and communicates with other services through a well-defined interface using a lightweight mechanism, typically an HTTP-based application programming interface (API). Microservices are built around business capabilities; each service is scoped to a single purpose. You can use different frameworks or programming languages to write microservices and deploy them independently, as a single service, or as a group of services.

Learn more about Amazon Container Service (Amazon ECS) »

Learn more about AWS Lambda »

Infrastructure as Code

Infrastructure as code is a practice in which infrastructure is provisioned and managed using code and software development techniques, such as version control and continuous integration. The cloudâs API-driven model enables developers and system administrators to interact with infrastructure programmatically, and at scale, instead of needing to manually set up and configure resources. Thus, engineers can interface with infrastructure using code-based tools and treat infrastructure in a manner similar to how they treat application code. Because they are defined by code, infrastructure and servers can quickly be deployed using standardized patterns, updated with the latest patches and versions, or duplicated in repeatable ways.

Learn to manage your infrastructure as code with AWS CloudFormation »

Configuration Management

Developers and system administrators use code to automate operating system and host configuration, operational tasks, and more. The use of code makes configuration changes repeatable and standardized. It frees developers and systems administrators from manually configuring operating systems, system applications, or server software.

Learn how you can configure and manage Amazon EC2 and on-premises systems with Amazon EC2 Systems Manager »

Learn to use configuration management with AWS OpsWorks »

Policy as Code

With infrastructure and its configuration codified with the cloud, organizations can monitor and enforce compliance dynamically and at scale. Infrastructure that is described by code can thus be tracked, validated, and reconfigured in an automated way. This makes it easier for organizations to govern changes over resources and ensure that security measures are properly enforced in a distributed manner (e.g. information security or compliance with PCI-DSS or HIPAA). This allows teams within an organization to move at higher velocity since non-compliant resources can be automatically flagged for further investigation or even automatically brought back into compliance.

Learn how you can use AWS Config and Config Rules to monitor and enforce compliance for your infrastructure »

Monitoring and Logging

Organizations monitor metrics and logs to see how application and infrastructure performance impacts the experience of their productâs end user. By capturing, categorizing, and then analyzing data and logs generated by applications and infrastructure, organizations understand how changes or updates impact users, shedding insights into the root causes of problems or unexpected changes. Active monitoring becomes increasingly important as services must be available 24/7 and as application and infrastructure update frequency increases. Creating alerts or performing real-time analysis of this data also helps organizations more proactively monitor their services.

Learn how you can use Amazon CloudWatch to monitor your infrastructure metrics and logs »

Learn how you can use AWS CloudTrail to record and log AWS API calls »

Communication and Collaboration

Increased communication and collaboration in an organization is one of the key cultural aspects of DevOps. The use of DevOps tooling and automation of the software delivery process establishes collaboration by physically bringing together the workflows and responsibilities of development and operations. Building on top of that, these teams set strong cultural norms around information sharing and facilitating communication through the use of chat applications, issue or project tracking systems, and wikis. This helps speed up communication across developers, operations, and even other teams like marketing or sales, allowing all parts of the organization to align more closely on goals and projects.

DevOps Tools

The DevOps model relies on effective tooling to help teams rapidly and reliably deploy and innovate for their customers. These tools automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps. AWS provides services that are designed for DevOps and that are built first for use with the AWS cloud. These services help you use the DevOps practices described above.

Learn about AWS DevOps services »

Learn about AWS partner solutions »

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#####EOF##### DevOps - Amazon Web Services (AWS)

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AWS provides a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using AWS and DevOps practices. These services simplify provisioning and managing infrastructure, deploying application code, automating software release processes, and monitoring your application and infrastructure performance.

Why AWS for DevOps?

Get Started Fast

Each AWS service is ready to use if you have an AWS account. There is no setup required or software to install.

Fully Managed Services

These services can help you take advantage of AWS resources quicker. You can worry less about setting up, installing, and operating infrastructure on your own. This lets you focus on your core product.

Built for Scale

You can manage a single instance or scale to thousands using AWS services. These services help you make the most of flexible compute resources by simplifying provisioning, configuration, and scaling.

Programmable

You have the option to use each service via the AWS Command Line Interface or through APIs and SDKs. You can also model and provision AWS resources and your entire AWS infrastructure using declarative AWS CloudFormation templates.

Automation

AWS helps you use automation so you can build faster and more efficiently. Using AWS services, you can automate manual tasks or processes such as deployments, development & test workflows, container management, and configuration management.

Secure

Use AWS Identity and Access Management (IAM) to set user permissions and policies. This gives you granular control over who can access your resources and how they access those resources.

Large Partner Ecosystem

AWS supports a large ecosystem of partners which integrate with and extend AWS services. Use your preferred third-party and open source tools with AWS to build an end-to-end solution. Visit here to learn more about our DevOps Partner Solutions.

Pay-As-You-Go

With AWS purchase services as you need them and only for the period when you plan to use them. AWS pricing has no upfront fees, termination penalties, or long term contracts. The AWS Free Tier helps you get started with AWS. Visit the pricing pages of each service to learn more.

DevOps Tooling by AWS

AWS provides services that help you practice DevOps at your company and that are built first for use with AWS. These tools automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps.

Explore our solutions and tooling for DevOps.

Continuous Integration and Continuous Delivery

The AWS Developer Tools help you securely store and version your application's source code and automatically build, test, and deploy your application to AWS or your on-premises environment.

Start with AWS CodePipeline to build a continuous integration or continuous delivery workflow that uses AWS CodeBuild, AWS CodeDeploy, and other tools, or use each service separately.

Software Release Workflows

AWS CodePipeline

AWS CodePipeline is a continuous integration and continuous delivery service for fast and reliable application and infrastructure updates. CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define. This enables you to rapidly and reliably deliver features and updates.
Learn more »

Build and Test Code

AWS CodeBuild

AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you donât need to provision, manage, and scale your own build servers. CodeBuild scales continuously and processes multiple builds concurrently, so your builds are not left waiting in a queue.
Learn more »

Deployment Automation

AWS CodeDeploy

AWS CodeDeploy automates code deployments to any instance, including Amazon EC2 instances and on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications.
Learn more »

Unified CI/CD Projects

AWS CodeStar

AWS CodeStar enables you to quickly develop, build, and deploy applications on AWS. AWS CodeStar provides a unified user interface, enabling you to easily manage your software development activities in one place. With AWS CodeStar, you can set up your entire continuous delivery toolchain in minutes, allowing you to start releasing code faster.
Learn more »

Instacart uses AWS CodeDeploy to automate deployments for all of its front-end and back-end services. Using AWS CodeDeploy has enabled Instacartâs developers to focus on their product and worry less about deployment operations.
Read the case study »

lululemon athletica uses a variety of AWS services to engineer a fully automated, continuous integration and delivery system. lululemon deploys artifacts distributed via Amazon S3 using AWS CodePipeline. From this stage, the artifacts are deployed to AWS Elastic Beanstalk.
Read the case study »

Microservices

Build and deploy a microservices architecture using containers or serverless computing.

Production Docker Platform

Amazon Elastic Container Service

Amazon Elastic Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances.
Learn more »

Serverless Computing

AWS Lambda

AWS Lambda lets you run code without provisioning or managing servers. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.
Learn more »

Coursera uses Amazon Elastic Container Service to manage a microservices -based architecture for its applications. Coursera can now deploy software changes in minutes instead of hours in a resource-isolated environment.
Read the case study »

Localytics uses AWS Lambda to create microservices that ingest Amazon Simple Storage Service files and Kinesis data streams comprising about 100 billion data points each month.
Read the case study »

Infrastructure as Code

Provision, configure, and manage your AWS infrastructure resources using code and templates. Monitor and enforce infrastructure compliance.

Templated Infrastructure Provisioning

AWS CloudFormation

AWS CloudFormation gives developers and systems administrators an easy way to create and manage a collection of related AWS resources, provisioning and updating them in an orderly and predictable fashion. You can use AWS CloudFormationâs sample templates or create your own templates.
Learn more »

Chef Configuration Management

AWS OpsWorks

AWS OpsWorks is a configuration management service that uses Chef, an automation platform that treats server configurations as code. OpsWorks uses Chef to automate how servers are configured, deployed, and managed across your Amazon Elastic Compute Cloud (Amazon EC2) instances or on-premises compute environments. OpsWorks has two offerings, AWS Opsworks for Chef Automate, and AWS OpsWorks Stacks.
Learn more »

Simple built its online banking platform on AWS. Using AWS CloudFormation, Simple can automate processes that once took months to complete and focus on its customer service rather than managing IT infrastructure.
Watch the video »

The Toronto Star is Canadaâs largest online news site. By using AWS OpsWorks, the Star reduced deployment time for its content management application from 3 hours to 20 minutes, saving costs and boosting productivity.
Read the case study »

Configuration Management

AWS Systems Manager

AWS Systems Manager is a management service that helps you automatically collect software inventory, apply OS patches, create system images, and configure Windows and Linux operating systems. These capabilities help you define and track system configurations, prevent drift, and maintain software compliance of your EC2 and on-premises configurations.
Learn more »

Policy as Code

AWS Config

AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. Config Rules enables you to create rules that automatically check the configuration of AWS resources recorded by AWS Config.
Learn more »

Prezi uses AWS Config to track configuration changes to Prezi's AWS resources. AWS Config sends notifications whenever resources are created, modified, or deleted. Prezi uses AWS Config rules to govern provisioning and configuration of its resources in AWS.
Read the case study »

Provision infrastructure from AWS CloudFormation templates, invoke AWS Systems Manager to track your software inventory or to configure your instances, and auto-remediate any configuration drifts with AWS Config.

Monitoring and Logging

Record logs and monitor application and infrastructure performance in near real-time.

Cloud and Network Monitoring

Amazon CloudWatch

Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources.
Learn more »

Distributed Tracing

AWS X-Ray

AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors.
Learn more »

The Globe and Mail is Canadaâs most read newspaper with a national weekly digital readership of 4.7 million. It used Amazon CloudWatch to monitor the performance of its system and adopted a DevOps approach for infrastructure automation.
Read the case study »

Activity & API Usage Tracking

AWS CloudTrail

AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.
Learn more »

Slack provides a messaging platform for unifying diverse communications services. Slackâs platform runs on AWS, leveraging a wide range of cloud services. The company uses AWS CloudTrail for monitoring logs related to Amazon EC2 instances.
Read the case study »

Platform as a Service

Deploy web applications without needing to provision and manage the infrastructure and application stack.

Run and Manage Web Apps

AWS Elastic Beanstalk

AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS.

You can simply upload your code and Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, auto-scaling to application health monitoring. At the same time, you retain full control over the AWS resources powering your application and can access the underlying resources at any time.
Learn more »

Zillow migrated its image-processing and delivery system to AWS to solve performance issues and gain scalability. It uses Elastic Beanstalk to run a Python Imaging Library with custom code for its image processing work.
Read the case study »

Rachio is the creator of the Smart Sprinkler Controller, a WiFi-based irrigation controller. Rachio uses AWS Elastic Beanstalk to deploy and manage its website, apps, and APIs.
Read the case study »

Version Control

Host secure, highly scalable Git repositories in the cloud.

Private Git Hosting

AWS CodeCommit

AWS CodeCommit is a fully-managed source control service that makes it easy for companies to host secure and highly scalable private Git repositories. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.
Learn more »

Using AWS CodeCommit, Edmunds.com developers have a scalable, highly available source control service that reduces costs and simplifies administration.
Read the case study »

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#####EOF##### Amazon.com: GL.iNet GL-AR750 Travel AC Router, 300Mbps(2.4G)+433Mbps(5G) Wi-Fi, 128MB RAM, MicroSD Storage Support, OpenWrt/LEDE pre-Installed, Power Adapter and Cables Included: Computers & Accessories

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GL.iNet GL-AR750 Travel AC Router, 300Mbps(2.4G)+433Mbps(5G) Wi-Fi, 128MB RAM, MicroSD Storage Support, OpenWrt/LEDE pre-Installed, Power Adapter and Cables Included

by GL.iNet

77 customer reviews

| 87 answered questions

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DUAL BAND AC ROUTER: Simultaneous dual band with wireless speed 300Mbps(2.4G)+433Mbps(5G). Convert a public network(wired/wireless) to a private Wi-Fi for secure surfing.
OPEN SOURCE & PROGRAMMABLE: OpenWrt/LEDE pre-installed, backed by software repository.
OPENVPN CLIENT: OpenVPN client pre-installed, compatible with 25+ VPN service providers.
LARGER STORAGE & EXTENSIBILITY: 128MB RAM, 16MB NOR Flash, up to 128GB MicroSD slot, USB 2.0 port, three Ethernet ports, and optional PoE module (sold separately).
PACKAGE CONTENTS: GL-AR750 travel router (1-year Warranty), Power adapter, USB cable, Ethernet cable and User Manual. Please update the latest firmware at the following link before using: https://dl.gl-inet.com/firmware/ar750/v1/

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Product Description

GL-AR750 Dual-band AC Router

Convert a wired or wireless network to your private network and share the Wi-Fi signals with all your devices and your travel companion(s)
Save time from connecting all your devices one by one every time when you access a new Wi-Fi
Support wired and wireless bridge, switch between router and bridge mode using the configurable switch button
Tether data from a USB modem or a smartphone to all devices

OpenVPN: Secure Your Online Privacy Wherever You Go
Its outstanding security protocols and data encryption technology offers an extra layer of protection wherever you go. It is the best travel accessory for business travelers, journalists, frequent flyers and anyone who feels the need to protect their privacy while surfing the internet. It supports 20+ popular OpenVPN service providers.

GL-AR750 Travel Router

A dual-band AC router pre-installed with OpenWrt/LEDE firmware. With its open source platform, users are given the flexibility to extend the Routerâs features based on their preferences.


External Storage Support MicroSD up to 128GB Extra space for sharing files	Fast Wi-Fi Speed Simultaneous dual band with wireless speed 300Mbps(2.4G)+433Mbps(5G)	Flexible Power Supply Optional PoE, works with 802.3 af/at 48V injector Able to use a laptop or power bank as a power supply	Open Source Platform Pre-installed OpenWrt/LEDE, a highly customizable Linux OS Pre-installed OpenVPN client, supports 20+ service providers Â

Travel Safe From Now On...

With OpenVPN Enabled,

Convert untrusted networks such as public Wi-Fi into your own secure virtual private network (VPN).
Mask your IP address to protect your online privacy and keep you from being tracked and exploited online.
Keep sensitive information safe: Encrypt your personal data and online traffic all the time.

Watch Your Favorite Show Anytime, Anywhere...

With OpenVPN Enabled,

Allow you to enjoy streaming service away from home country.
It also comes in handy when you're traveling in censorship-heavy countries.
With up to 17Mbps OpenVPN Speed, you will be able to watch streaming videos.

****************

Specifications:

Fast Processing powered by Qualcomm QCA9531 SoC,650MHz CPU
DDR2 128MB / Flash 16MB
300Mbps (2.4G) + 433Mbps (5G)
802.11 b/g/n/ac
5V/2A power input
10/100 Ethernet port x 3
Support microSD storage up to 128GB
80 - 100 meters Wi-Fi Range (in open space)
88mm*68mm*24mm, 66g (router only)

Compare with similar items

		GL.iNet GL-AR750S-Ext Gigabit Travel AC Router (Slate), 300Mbps(2.4G)+433Mbps(5G) Wi-Fi, 128MB RAM, MicroSD Support, OpenWrt/LEDE pre-Installed, Cloudflare DNS, Power Adapter and Cables Included	TP-Link N300 Wireless Portable Nano Travel Router - WiFi Bridge/Range Extender/Access Point/Client Modes, Mobile in Pocket(TL-WR802N)	GL.iNET GL-AR300M Mini Travel Router, Wi-Fi Converter, OpenWrt Pre-Installed, Repeater Bridge, 300Mbps High Performance, 128MB Nand Flash, 128MB RAM, OpenVPN, Tor Compatible, Programmable IoT Gateway	GL.iNet GL-AR300M Mini Travel Router with 2dbi external antenna, Wi-Fi Converter, OpenWrt Pre-installed, Repeater Bridge, 300Mbps High Performance, 128MB Nand flash, 128MB RAM, OpenVPN, Tor Compatible	TP-Link AC750 Wireless Wi-Fi Travel Router (TL-WR902AC)
	Add to Cart	Add to Cart	Add to Cart	Add to Cart	Add to Cart	Add to Cart
Customer Rating	(77)	(56)	(717)	(86)	(105)	(552)
Price	$44.99	$69.99	$27.63	$40.00	$45.00	$39.99
Shipping	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25	FREE Shipping on orders over $25
Sold By	GL Technologies	GL Technologies	Amazon.com	GL Technologies	GL Technologies	Amazon.com
Connectivity Technology	ethernet, wired	Wired, Wireless, Ethernet, USB	wireless	Wireless	Wireless	â
Data Transfer Rate	750 Mb per second	300 MB per second	300 Mb per second	300 Mb per second	300 Mb per second	750 Mb per second
Frequency Bands Supported	5 Ghz, 2.4 Ghz	5 Ghz, 2.4 Ghz	Single-Band	Single-Band	â	Dual-Band
Item Dimensions	4.13 x 2.83 x 1.06 in	3.94 x 2.68 x 0.94 in	2.2 x 2.2 x 0.7 in	2.28 x 2.28 x 2.28 in	2.28 x 2.28 x 0.98 in	2.64 x 2.91 x 0.87 in
Item Weight	2.33 ounces	3.03 ounces	7.2 ounces	1.41 ounces	2.68 ounces	0.5 lb
Range	â	â	feet	â	â	â
Number of Ethernet Ports	3	â	7	2	2	5
Wireless Compability	802.11bgn, 5.8 GHz Radio Frequency, 2.4 GHz Radio Frequency	802.11 a/b/g/n, 5.8 GHz Radio Frequency, 2.4 GHz Radio Frequency	802.11 a/b/g/n	802.11bgn	802.11bgn	802.11.ac

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Product information

Product Dimensions

4.1 x 2.8 x 1.1 inches

Item Weight

2.4 ounces

Shipping Weight

10.2 ounces (View shipping rates and policies)

Manufacturer

GL Technologies

ASIN

B07712LKJM

Item model number

Customer Reviews

77 customer reviews

3.6 out of 5 stars

Best Sellers Rank

#8,227 in Electronics (See Top 100 in Electronics)
#134 in Computer Routers

Date first listed on Amazon

October 30, 2017

Warranty & Support

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MIchael L

If you want Micro Router / AP Extender / VPN / 5GHZ / Physical ports this is the best one PERIOD.

July 18, 2018

Verified Purchase

I like most of you saw the long review that outlined all the speed issues and the fact that you could get much more Router for the $ and so on... If you want to watch Netflix over VPN good luck Netflix is Banning all VPN's no amount of speed will help you...

Its VPN Speed is about 7-9 MB's not bad at all for its power and size. Most Hotel Networks cant even do 10 MB's and No RV park is above 3 MB's.

Let me first just say there are NO routers that are this size that have the level of options and functionality of this router. I was able to reprogram the side switch to enable / disable the VPN. Then i made it so when the VPN is on the power LED On And When the VPN is off the power LED would be off.

The level of control with this router is insane and i love it.

If you want a USB Powered Micro Router with VPN support this is the best one by far. I have owned about 5 different ones and each one worked but none of them did as much as this one.

So if you want a Micro Router Pulling Sub .3A at 5V for something like and RV install or Hotel or any place you want a Micro Router / AP Extender / VPN / 5GHZ / Physical ports support and want to keep you power / Foot print as low as possible this is the only option PERIOD.

I cant disagree more with the long and quite frankly worthless post that almost had me not buy this router because his post makes it seem like its totally over priced and not worth the price. I spent way to much time looking for a better option because of that post and ended up back to this device each time after weighing all the things i needed.

42 people found this helpful

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Comment

Marble68

This is my newer, upgraded GL.iNet travel router. They're it's surprisingly capable and useful.

February 11, 2018

Verified Purchase

These small GL.iNet routers are seriously handy. Powerful, configurable, small, and extremely useful.

I primarily use mine in WISP mode, because I carry multiple devices and computers, and I can fire this up, then connect to wifi from it, then connect all my devices to the wifi "bubble" it creates.

This lets me setup a small, secure network for my portable work environment to share. Handy in coffee shops, coworking spaces, client sites... even airplanes.

In WISP mode, you boot it up, connect to it, then through it's web interface you connect to a wifi network. If that network has a portal page, it passes that through and you sign in from your device. Once done, everything that connects to it can use that wifi. To elaborate, it in effect, connects to the wifi, then shares it over a new wifi network (as a hotspot) for you to connect to securely.

These use OpenWRT and present a basic UI to the user, but in Advanced mode you get directly to real heart of the device.

There, you can install from the numerous modules.

I will say, it helps to know a little about networking when using this thing. The UI is good, but there are nuances to using such a device and getting the most out of it.

However, I highly recommend this, and the GL-AR300M.

They support VPN, too - so if you're on a network you don't trust not to get sniffed, they can punch out through your OpenVPN provider of choice (I use Private Internet Access, and it has worked flawlessly once I muddied through the setup process - which isn't necessarily for the faint of heart).

5 stars!

23 people found this helpful

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Splat Matt

@Rv'ers & Travelers: fantastic router that fits in the palm of your hand!

May 14, 2018

Verified Purchase

We got this itty-bitty router to for our a teardrop travel trailer (nÃ¼Camp T@B 320). It supports WISP allowing us to connect to wireless networks at RV parks, hotels, & other public spots, then create a private network. In our teardrop trailer, we were able to create an intranet network for our chromecast TV, chromecast audio and Google Assistant in our private network while giving the devices access to the public WiFi. Essentially, our network remains isolated from the other guests while delivering to us an networked intranet with internet access.

Pro tip: make sure to only update firmware using a wired connection. We performed it wirelessly and bricked the device. I was able to resolve easily enough (hard resets would not recover firmware) by simply connecting an ethernet adapter to my computer and running a length of ethernet cable to one of the LAN ports on the router. I then manually connected to the router (manually defining my computer's IP address and gateway IP address) to upload the firmware (you can download for GL.iNet website).

After some initial hiccups the router is running a google chromecast network for audio and TV while serving 3 iPhones, a kindle fire, a couple of chromebooks, and a Macbook. Best of all if we are at site without shore-power (AC) we can run this router from the teardrop trailer's DC batteries through one of the built-in charging ports.

7 people found this helpful

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Comment

Kanwar

Slow to boot up, may need to configure advanced settings, but very compact size and good performance

April 25, 2018

Verified Purchase

This thing is tiny--a very compact travel router option.

It takes a long time for this router to boot up and the settings are tricky, but once it's up and going, the performance is rock-solid.

I wanted a router to plug into an existing modem/router and provide a new wireless network, but the options I needed weren't available in the basic settings -- I had to go into the advanced settings and experiment a bit (a bit of guess-work and testing) to get the router working the way I needed/wanted. In the end, though, the speed and stability are very solid--little/nothing to complain about.

6 people found this helpful

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GL.iNet GL-AR750 Travel AC Router, 300Mbps(2.4G)+433Mbps(5G) Wi-Fi, 128MB RAM, MicroSD Storage Support, OpenWrt/LEDE pre-Installed, Power Adapter and Cables Included

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#####EOF##### What is NoSQL? | Nonrelational Databases, Flexible Schema Data Models | AWS

What is NoSQL?

High-performance, nonrelational databases with flexible data models

Get started with DynamoDB

What are NoSQL databases?

NoSQL databases are purpose built for specific data models and have flexible schemas for building modern applications. NoSQL databases are widely recognized for their ease of development, functionality, and performance at scale. They use a variety of data models, including document, graph, key-value, in-memory, and search. This page includes resources to help you better understand NoSQL databases and to get started.

Databases on AWS: The Right Tool for the Right Job

How Does a NoSQL (nonrelational) Database Work?

NoSQL databases use a variety of data models for accessing and managing data, such as document, graph, key-value, in-memory, and search. These types of databases are optimized specifically for applications that require large data volume, low latency, and flexible data models, which are achieved by relaxing some of the data consistency restrictions of other databases.

Consider the example of modeling the schema for a simple book database:

In a relational database, a book record is often dissembled (or ânormalizedâ) and stored in separate tables, and relationships are defined by primary and foreign key constraints. In this example, the Books table has columns for ISBN, Book Title, and Edition Number, the Authors table has columns for AuthorID and Author Name, and finally the Author-ISBN table has columns for AuthorID and ISBN. The relational model is designed to enable the database to enforce referential integrity between tables in the database, normalized to reduce the redundancy, and generally optimized for storage.

In a NoSQL database, a book record is usually stored as a JSON document. For each book, the item, ISBN, Book Title, Edition Number, Author Name, and AuthorID are stored as attributes in a single document. In this model, data is optimized for intuitive development and horizontal scalability.

Why should you use a NoSQL database?

NoSQL databases are a great fit for many modern applications such as mobile, web, and gaming that require flexible, scalable, high-performance, and highly functional databases to provide great user experiences.

Flexibility: NoSQL databases generally provide flexible schemas that enable faster and more iterative development. The flexible data model makes NoSQL databases ideal for semi-structured and unstructured data.
Scalability: NoSQL databases are generally designed to scale out by using distributed clusters of hardware instead of scaling up by adding expensive and robust servers. Some cloud providers handle these operations behind-the-scenes as a fully managed service.
High-performance: NoSQL database are optimized for specific data models (such as document, key-value, and graph) and access patterns that enable higher performance than trying to accomplish similar functionality with relational databases.
Highly functional: NoSQL databases provide highly functional APIs and data types that are purpose built for each of their respective data models.

Types of NoSQL Databases

Key-value: Key-value databases are highly partitionable and allow horizontal scaling at scales that other types of databases cannot achieve. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model. Amazon DynamoDB is designed to provide consistent single-digit millisecond latency for any scale of workloads. This consistent performance is a big part of why the Snapchat Stories feature, which includes Snapchat's largest storage write workload, moved to DynamoDB.

Document: In application code, data is represented often as an object or JSON-like document because it is an efficient and intuitive data model for developers. Document databases make it easier for developers to store and query data in a database by using the same document model format that they use in their application code. The flexible, semistructured, and hierarchical nature of documents and document databases allows them to evolve with applicationsâ needs. The document model works well with catalogs, user profiles, and content management systems where each document is unique and evolves over time. Amazon DocumentDB (with MongoDB compatibility) and MongoDB are popular document databases that provide powerful and intuitive APIs for flexible and iterative development.

Graph: A graph databaseâs purpose is to make it easy to build and run applications that work with highly connected datasets. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs. Amazon Neptune is a fully-managed graph database service. Neptune supports both the Property Graph model and the Resource Description Framework (RDF), providing the choice of two graph APIs: TinkerPop and RDF/SPARQL. Popular graph databases include Neo4j and Giraph.

In-memory: Gaming and ad-tech applications have use cases such as leaderboards, session stores, and real-time analytics that require microsecond response times and can have large spikes in traffic coming at any time. Amazon ElastiCache offers Memcached and Redis, to serve low-latency, high-throughput workloads, such as McDonaldâs, that cannot be served with disk-based data stores. Amazon DynamoDB Accelerator (DAX) is another example of a purpose-built data store. DAX makes DynamoDB reads an order of magnitude faster.

Search: Many applications output logs to help developers troubleshoot issues. Amazon Elasticsearch Service (Amazon ES) is purpose built for providing near-real-time visualizations and analytics of machine-generated data by indexing, aggregating, and searching semistructured logs and metrics. Amazon ES also is a powerful, high-performance search engine for full-text search use cases. Expedia is using more than 150 Amazon ES domains, 30 TB of data, and 30 billion documents for a variety of mission-critical use cases, ranging from operational monitoring and troubleshooting to distributed application stack tracing and pricing optimization.

SQL (relational) vs. NoSQL (nonrelational) databases

For decades, the predominant data model that was used for application development was the relational data model used by relational databases such as Oracle, DB2, SQL Server, MySQL, and PostgreSQL. It wasnât until the mid to late 2000s that other data models began to gain significant adoption and usage. To differentiate and categorize these new classes of databases and data models, the term âNoSQLâ was coined. Often the term âNoSQLâ is used interchangeably with ânonrelational.â

Though there are many types of NoSQL databases with varying features, the following table shows some of the differences between SQL and NoSQL databases.

Getting Started with NoSQL

	Relational databases	NoSQL databases
Optimal workloads	Relational databases are designed for transactional and strongly consistent online transaction processing (OLTP) applications and are good for online analytical processing (OLAP).	NoSQL key-value, document, graph, and in-memory databases are designed for OLTP for a number of data access patterns that include low-latency applications. NoSQL search databases are designed for analytics over semi-structured data.
Data model	The relational model normalizes data into tables that are composed of rows and columns. A schema strictly defines the tables, rows, columns, indexes, relationships between tables, and other database elements. The database enforces the referential integrity in relationships between tables.	NoSQL databases provide a variety of data models that includes document, graph, key-value, in-memory, and search.
ACID properties	Relational databases provide atomicity, consistency, isolation, and durability (ACID) properties: Atomicity requires a transaction to execute completely or not at all. Consistency requires that when a transaction has been committed, the data must conform to the database schema. Isolation requires that concurrent transactions execute separately from each other. Durability requires the ability to recover from an unexpected system failure or power outage to the last known state.	NoSQL databases often make tradeoffs by relaxing some of the ACID properties of relational databases for a more flexible data model that can scale horizontally. This makes NoSQL databases an excellent choice for high throughput, low-latency use cases that need to scale horizontally beyond the limitations of a single instance.
Performance	Performance is generally dependent on the disk subsystem. The optimization of queries, indexes, and table structure is often required to achieve peak performance.	Performance is generally a function of the underlying hardware cluster size, network latency, and the calling application.
Scale	Relational databases typically scale up by increasing the compute capabilities of the hardware or scale-out by adding replicas for read-only workloads.	NoSQL databases typically are partitionable because key-value access patterns are able to scale out by using distributed architecture to increase throughput that provides consistent performance at near boundless scale.
APIs	Requests to store and retrieve data are communicated using queries that conform to a structured query language (SQL). These queries are parsed and executed by the relational database.	Object-based APIs allow app developers to easily store and retrieve in-memory data structures. Partition keys let apps look up key-value pairs, column sets, or semistructured documents that contain serialized app objects and attributes.

SQL vs. NoSQL Terminology

The following table compares terminology used by select NoSQL databases with terminology used by SQL databases.

SQL	MongoDB	DynamoDB	Cassandra	Couchbase
Table	Collection	Table	Table	Data bucket
Row	Document	Item	Row	Document
Column	Field	Attribute	Column	Field
Primary key	ObjectId	Primary key	Primary key	Document ID
Index	Index	Secondary index	Index	Index
View	View	Global secondary index	Materialized view	View
Nested table or object	Embedded document	Map	Map	Map
Array	Array	List	List	List

List

Primary key

Get started with DynamoDB

It's easy to get started with DynamoDB. See the DynamoDB Getting Started webpage to create your first table in a few clicks. You also can download an AWS whitepaper, to learn best practices for migrating workloads from a relational database management system (RDBMS) to DynamoDB.

Get started with Amazon DynamoDB

What is Amazon DynamoDB?

More resources

Get started with Amazon ElastiCache Get started with Amazon Neptune Get started with Amazon Elasticsearch

Ready to build?

Getting started with AWS

Have questions?

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#####EOF##### AWS | Cloud Computing - Servicios de informática en la nube

Lightsail

Todo lo que necesita para empezar a usar los productos de AWS, a un precio bajo y predecible

Amazon DynamoDB

Base de datos no relacional completamente administrada a cualquier escala

Desarrollo de aplicaciones sin servidor

Encuentre herramientas para realizar pruebas, implementaciones y monitorizaciones de aplicaciones sin servidor

Se migraron más de 110 000 bases de datos a AWS

Ahorre tiempo y dinero: migre a bases de datos completamente administradas

Conozca nuestros productos

Análisis

Amazon AthenaConsulte datos en S3 con SQL

Amazon CloudSearchServicio de búsqueda administrado

Amazon EMRInfraestructura Hadoop hospedada

Amazon Elasticsearch ServiceEjecute y escale clústeres de Elasticsearch

Amazon KinesisAnalice transmisiones de datos y videos en tiempo real

Amazon Managed Streaming for KafkaServicio para Apache Kafka completamente administrado

Amazon RedshiftAlmacenamiento de datos rápido, sencillo y rentable

Amazon QuickSightServicio rápido de análisis empresarial

AWS Data PipelineServicio de organización para flujos de trabajo periódicos basados en datos

AWS GluePrepare y cargue datos

AWS Lake FormationCree un lago de datos seguro en cuestión de días

Integración de aplicaciones

AWS Step FunctionsCoordinación para las aplicaciones distribuidas

Amazon MQAgente de mensajes administrado para ActiveMQ

Amazon Simple Notification Service (SNS)Temas de mensajes administrados para publicación/suscripción

Amazon Simple Queue Service (Amazon SQS) Colas de mensajes administradas

AWS AppSyncCree aplicaciones basadas en datos, con capacidades en tiempo real y sin conexión

Realidad aumentada y realidad virtual

Amazon SumerianCree y ejecute aplicaciones de RV y RA

Administración de costos de AWS

AWS Cost ExplorerAnalice el uso y el costo de AWS

Presupuestos de AWSDefina presupuestos personalizados del uso y el costo

Informe de uso y costo de AWSObtenga acceso a información detallada de costo y uso

Informes de instancias reservadasConozca a fondo sus instancias reservadas (RI)

Cadena de bloques

Amazon Managed BlockchainCree y administre redes de cadenas de bloques escalables

Amazon Quantum Ledger Database (QLDB)Base de datos de libro mayor completamente administrada

Aplicaciones empresariales

Alexa for BusinessOtorgue mayor capacidad a su organización con Alexa

Amazon ChimeChats, videollamadas y reuniones libres de errores

Amazon WorkMailEmail y calendario seguros

Computación

Amazon EC2Servidores virtuales en la nube

Amazon EC2 Auto ScalingAjuste la capacidad informática para adaptarse a los niveles de la demanda

Amazon Elastic Container RegistryAlmacene y recupere imágenes de Docker

Amazon Elastic Container ServiceEjecute y administre contenedores Docker

Amazon Elastic Container Service for KubernetesEjecute Kubernetes administrado en AWS

Amazon LightsailLance y administre servidores privados virtuales

AWS BatchEjecute trabajos en lote en cualquier escala

AWS Elastic BeanstalkEjecute y administre aplicaciones web

AWS FargateEjecute contenedores sin tener que administrar servidores ni clústeres

AWS LambdaEjecute código sin tener que pensar en los servidores

AWS OutpostsEjecute infraestructura de AWS localmente

AWS Serverless Application RepositoryDetecte, implemente y publique aplicaciones sin servidor

Elastic Load Balancing (ELB)Distribuya en tráfico de entrada en varios destinos

VMware Cloud on AWSCree una nube híbrida sin hardware personalizado

Interacción con clientes

Amazon ConnectServicio de centro de contacto basado en la nube

Amazon PinpointInteracción personalizada con usuarios mediante diferentes canales

Amazon Simple Email Service (SES)Servicio de envío y recepción de correos electrónicos

Base de datos

Amazon AuroraBase de datos relacional administrada de alto rendimiento

Amazon DynamoDBBase de datos NoSQL administrada

Amazon DocumentDB (compatible con MongoDB)Base de datos de documentos completamente administrada

Amazon ElastiCacheSistema de almacenamiento de caché en memoria

Amazon Neptune Servicio completamente administrado de base de datos de gráficos

Amazon Quantum Ledger Database (QLDB)Base de datos de libro mayor completamente administrada

Amazon RDSServicio administrado de bases de datos relacionales para MySQL, PostgreSQL, Oracle, SQL Server y MariaDB

Amazon RDS on VMwareAutomatice la administración de bases de datos locales

Amazon RedshiftAlmacenamiento de datos rápido, sencillo y rentable

Amazon TimestreamBase de datos de serie temporal completamente administrada

AWS Database Migration ServiceMigre bases de datos con tiempo de inactividad mínimo

Herramientas para desarrolladores

AWS CodeStarDesarrolle e implemente nuevas aplicaciones de AWS

Amazon CorrettoDistribución lista para producción de OpenJDK

AWS Cloud9Escriba, ejecute y depure código en un IDE de la nube

AWS CodeBuildCompile y pruebe código

AWS CodeCommitAlmacene código en repositorios Git privados

AWS CodeDeployAutomatice la implementación de código

AWS CodePipelinePublique software mediante entrega continua

Interfaz de línea de comandos de AWSHerramienta unificada para administrar los servicios de AWS

Herramientas y SDK de AWSHerramientas y SDK para AWS

AWS X-RayAnalice y depure sus aplicaciones

Informática para usuarios finales

Amazon AppStream 2.0Transmita aplicaciones de escritorio de manera segura a un navegador

Amazon WorkDocsProteja el almacenamiento y el uso compartido de documentos en empresas

Amazon WorkLinkHabilite el acceso mediante teléfonos móviles a sitios web internos

Amazon WorkSpacesEscritorios virtuales en la nube

Game Tech

Amazon GameLiftAlojamiento de servidores para videojuegos exclusivo, simple, ágil y rentable

Amazon LumberyardUn motor de videojuegos gratuito multiplataforma en 3D con código fuente completo, integrado con AWS y Twitch

Internet de las cosas

AWS IoT CoreConecte dispositivos a la nube

Amazon FreeRTOSSistema operativo compatible con IoT para microcontroladores

AWS GreengrassComputación local, mensajería y sincronización de dispositivos

AWS IoT 1-ClickCreación en un solo clic de un disparador de AWS Lambda

AWS IoT AnalyticsAnálisis para dispositivos compatibles con IoT

Botón AWS IoTDash Button programable en la nube

AWS IoT Device DefenderAdministración de la seguridad para dispositivos compatibles con IoT

AWS IoT Device ManagementIncorpore, organice y administre de manera remota dispositivos compatibles con IoT

AWS IoT EventsEventos de IoT: detección y respuesta

AWS IoT SiteWiseRecopilador e intérprete de datos de IoT

AWS IoT Things GraphConecte dispositivos y servicios web fácilmente

AWS Partner Device CatalogCatálogo organizado de hardware IoT compatible con AWS

Aprendizaje automático

Amazon SageMakerCree, entrene e implemente modelos de aprendizaje automático a escala

Amazon ComprehendDescubra información y relaciones en un texto

Amazon Elastic InferenceAceleración de inferencias de aprendizaje profundo

Amazon ForecastIncremente el nivel de precisión de las previsiones con aprendizaje automático

Amazon LexCree bots de conversación con voz y texto

Amazon PersonalizeIntegre recomendaciones en tiempo real en sus aplicaciones

Amazon PollyTransforme texto en habla verosímil

Amazon RekognitionAnalice imágenes y videos

Amazon SageMaker Ground TruthCree conjuntos de datos precisos para entrenamientos de aprendizaje automático

Amazon TextractExtraiga texto y datos a partir de documentos

Amazon TranslateTraducción de idiomas natural y fluida

Amazon TranscribeReconocimiento de voz automático

AMI de aprendizaje profundo de AWSAprendizaje profundo en Amazon EC2

AWS DeepLensCámara de video habilitada para aprendizaje profundo

AWS DeepRacerAuto de carrera autónomo en escala 1/18 con tecnología de aprendizaje automático

AWS InferentiaChip de inferencias para aprendizaje automático

Apache MXnet en AWSMarco de aprendizaje profundo escalable y de código abierto

TensorFlow en AWSBiblioteca de inteligencia automática de código abierto

Administración y control

Amazon CloudWatchMonitoree recursos y aplicaciones

AWS Auto ScalingAjuste la escala de varios recursos para adaptarse a los niveles de la demanda

AWS CloudFormationCree y administre recursos con plantillas

AWS CloudTrailRealice un seguimiento de la actividad de los usuarios y el uso de las API

Interfaz de línea de comandos de AWSHerramienta unificada para administrar los servicios de AWS

AWS ConfigRealice un seguimiento del inventario de recursos y sus cambios

AWS Control TowerConfigure y controle un entorno con varias cuentas seguro y que cumpla las normas correspondientes

Aplicación móvil de la consola de AWSObtenga acceso a los recursos sobre la marcha

AWS License ManagerSeguimiento, administración y control de licencias

Consola de administración de AWSInterfaz de usuario basada en la web

AWS Managed ServicesAdministración de operaciones de infraestructura para AWS

AWS OpsWorksAutomatice operaciones con Chef y Puppet

AWS Personal Health DashboardVista personalizada del estado del servicio de AWS

AWS Service CatalogCree y utilice productos estandarizados

AWS Systems ManagerAdquiera conocimientos de operaciones e impleméntelos

AWS Trusted AdvisorOptimice el rendimiento y la seguridad

AWS Well-Architected ToolRevise y mejore sus cargas de trabajo

Servicios multimedia

Amazon Elastic TranscoderTranscodificación multimedia escalable fácil de usar

Amazon Kinesis Video StreamsProcese y analice transmisiones de videos

AWS Elemental MediaConnectTransferencia segura y fiable de videos en directo

AWS Elemental MediaConvertConvierta contenido de videos basado en archivos

AWS Elemental MediaLiveConvierta contenido de videos en directo

AWS Elemental MediaPackageEmpaquetado y generación de videos

AWS Elemental MediaStoreAlmacenamiento de archivos multimedia y origen HTTP simple

AWS Elemental MediaTailorPersonalización y monetización de videos

Migración y transferencia

AWS Migration HubRealice el seguimiento de las migraciones desde una única ubicación

AWS Application Discovery ServiceDetecte aplicaciones locales para optimizar la migración

AWS Database Migration ServiceMigre bases de datos con tiempo de inactividad mínimo

AWS DataSyncTransferencia de datos simple, rápida y online

AWS Server Migration Service Migre servidores locales a AWS

Familia de productos AWS SnowDispositivos físicos para migrar datos hacia y desde AWS

AWS Transfer for SFTPServicio de SFTP completamente administrado

Soluciones móviles

AWS AmplifyCree e implemente aplicaciones web y móviles

Amazon API GatewayCree, implemente y administre las API

Amazon PinpointInteracción personalizada con usuarios mediante diferentes canales

AWS AppSyncCree aplicaciones basadas en datos con capacidades que funcionan en tiempo real y sin conexión

AWS Device FarmPruebe aplicaciones web, para Android e iOS en dispositivos reales en la nube de AWS

Redes y entrega de contenido

Amazon VPCRecursos en la nube aislados

Amazon API GatewayCree, implemente y administre las API

Amazon CloudFrontRed de entrega de contenido global

Amazon Route 53Sistema de nombres de dominio (DNS) escalable

Amazon VPC PrivateLinkObtenga acceso de manera segura a servicios hospedados en AWS

AWS App MeshMonitorice y controle microservicios

AWS Cloud MapDetección de servicios para recursos de la nube

AWS Direct ConnectConexión de red exclusiva con AWS

AWS Global AcceleratorMejore la disponibilidad y el rendimiento de las aplicaciones

AWS Transit GatewayAjuste fácilmente la escala de conexiones de cuentas y VPC

Robótica

AWS RoboMakerDesarrolle, pruebe e implemente aplicaciones de robótica

Satélite

AWS Ground StationEstación terrestre como servicio completamente administrada

Seguridad, identidad y conformidad

AWS Identity and Access Management (IAM)Administre el acceso de usuarios y las claves de cifrado

Amazon Cloud DirectoryCree directorios flexibles nativos en la nube

Amazon CognitoAdministración de identidades para las aplicaciones

Amazon GuardDutyServicio administrado de detección de amenazas

Amazon InspectorAnalice la seguridad de las aplicaciones

Amazon MacieDescubra, clasifique y proteja sus datos

AWS ArtifactAcceso bajo demanda a los informes de conformidad de AWS

AWS Certificate ManagerAprovisionamiento, administración e implementación de certificados SSL/TLS

AWS CloudHSMAlmacenamiento de claves en hardware a efectos de conformidad normativa

AWS Directory ServiceHospede y administre Active Directory

AWS Firewall ManagerAdministración central de reglas de Firewall

AWS Key Management ServiceCreación y control administrados de claves de cifrado

AWS OrganizationsAdministración basada en políticas para varias cuentas de AWS

AWS Secrets ManagerAlterne, administre y recupere datos confidenciales

AWS Security HubCentro unificado de seguridad y conformidad

AWS ShieldProtección frente a ataques DDoS

AWS Single Sign-OnServicio de inicio de sesión único (SSO) en la nube

AWS WAFFiltre el tráfico web malintencionado

Almacenamiento

Amazon Simple Storage Service (S3)Almacenamiento escalable en la nube

Amazon Elastic Block Store (EBS)Volúmenes de almacenamiento de bloques de EC2

Amazon Elastic File System (EFS)Sistema de archivos completamente administrado para EC2

Amazon FSx for LustreSistema de archivos completamente administrado con uso informático intensivo

Amazon FSx for Windows File ServerSistema de archivos nativo de Windows completamente administrado

Amazon S3 GlacierAlmacenamiento de archivos en la nube a bajo costo

AWS BackupRespaldo centralizado en todos los servicios de AWS

Familia de productos AWS SnowDispositivos físicos para migrar datos hacia y desde AWS

AWS Storage GatewayIntegración de almacenamiento híbrido

Ver todos los productos

Respaldamos la innovación de los clientes

Transformación empresarial
Análisis predictivos
Aprendizaje automático
SIN SERVIDOR
Juegos
APLICACIONES EMPRESARIALES

Transformación empresarial
Capital One volvió a concibir la banca con AWS

Conozca cómo Capital One implementó su estrategia de prioridad de la nube a través de la educación, la planificación a largo plazo y el enfoque constante en las necesidades de los clientes.
Más información

Enfoque en los clientes

En 2014, Capital One tenía una incipiente capacidad de nube privada y también estaba experimentando con AWS. En un esfuerzo por desarrollar las características que sus clientes querían lo más rápido posible, la empresa optó por buscar la solución en AWS.

La parte difícil primero

La seguridad y la conformidad con críticos para Capital One como institución financiera. Para abordar estas necesidades, Capital One creó un marco de riesgo de la nube y estableció una función de control en esta tecnología antes de trasladar una carga de trabajo única a AWS.

Educación: la clave para trasladarse a la nube

Capital One ofrece un programa de formación en la nube para los ingenieros que trabajan directamente en AWS, así como para las partes interesadas sin conocimientos técnicos que necesitan poder defender el potencial de la informática en la nube. La compañía ahora se ubica entre las tres principales empresas de todo el mundo en cuanto a las certificaciones de AWS que tienen los empleados.

Materializar los beneficios de la nube

Al utilizar AWS, Capital One lleva al mercado nuevos productos en semanas en lugar de meses o años, utiliza el aprendizaje automático para mejorar la experiencia del cliente y atrae a los mejores desarrolladores e ingenieros, todo lo cual ayuda a la compañía a lograr su objetivo más importante: crear experiencias experiencias para su clientes.
Análisis predictivos
Formula One Group usa Amazon SageMaker para optimizar las carreras

Conozca de qué manera la Fórmula 1 usa Amazon SageMaker y otros servicios de AWS para optimizar las decisiones relacionadas con las carreras y mejorar la experiencia de los seguidores.

Más información

El comienzo de una transformación

El Grupo Fórmula Uno está migrando la mayor parte de su infraestructura de centros de datos locales a AWS y estandarizando en servicios de aprendizaje automático de AWS, incluido Amazon SageMaker.

Optimización de carreras con el aprendizaje automático

Mediante datos de carreras históricos recopilados a partir de automóviles durante los últimos 65 años, los científicos de datos de la Fórmula 1 están entrenando modelos de aprendizaje profundo para que realicen predicciones de carreras y ayuden a los equipos a optimizar decisiones durante una carrera. Los modelos pueden predecir cuándo los equipos deberían realizar paradas técnicas para los automóviles, determinar el mejor momento para cambiar los neumáticos y evaluar el desempeño de los conductores.

Incorporación de los seguidores a la pista

A continuación, la Fórmula 1 utiliza streaming de datos, análisis y servicios multimedia de AWS para distribuir información sobre las decisiones de los conductores y el rendimiento de los automóviles a sus más de 500 millones de seguidores.

Formación del futuro

Como la Fórmula 1 ejecuta sus cargas de trabajo informáticas de alto rendimiento en un entorno escalable en AWS, la organización puede realizar innovaciones en el diseño de automóviles, la experiencia de las carreras de la Fórmula 1, entre otras cosas, sin preocuparse por la capacidad.
Aprendizaje automático
La MLB selecciona a AWS como proveedor oficial del servicio de aprendizaje automático

Descubra de qué manera la Liga de Béisbol Profesional de Estados Unidos le da sentido a las estadísticas a través de AWS Machine Learning
Más información

Una base para el aprendizaje profundo

La MLB ha recopilado datos estadísticos sobre sus jugadores y clubes durante décadas. En 2015, comenzó a usar servicios de AWS para recopilar y distribuir estadísticas de los partidos del día a fin de mejorar la experiencia de los seguidores.

Mayor capacidad de acción para los desarrolladores

Gracias a Amazon Sagemaker, la MLB puede permitir a sus desarrolladores y científicos de datos crear, entrenar e implementar de manera rápida y fácil modelos de aprendizaje automático a escala.

Menor carga

Estos modelos ayudan a la MLB a eliminar procesos manuales y que consumen mucho tiempo asociados con las estadísticas y la conservación de registros, como el almacenamiento de puntajes, el registro de las notas sobre los partidos y la clasificación de los lanzamientos.

Personalización de partidos

El objetivo de la MLB es trabajar con Amazon ML Solutions Lab para continuar mejorando Statcast (su tecnología de seguimiento que analiza el rendimiento de los jugadores) incluida las pruebas de la precisión de las predicciones de los lanzamientos y la creación de experiencias personalizadas para los espectadores.

Un jonrón con inteligencia artificial

La MLB continuará innovado mediante el uso de inteligencia artificial La organización planea utilizar Amazon Comprehend para crear un modelo de lenguaje que pueda crear secuencias de comandos para partidos en directo que simulen presentadores emblemáticos.
SIN SERVIDOR
Matson utiliza AWS para el funcionamiento de su negocio internacional de logística y envío

Conozca de qué manera Matson usa AWS para promover la innovación y un servicio al cliente de nivel internacional, al mismo tiempo que logra fiabilidad operativa, seguridad y ahorro de costos en infraestructura.
Más información

Seguimiento de contenedores en tiempo real

Matson creó una aplicación móvil de referencia para el seguimiento internacional de contenedores que permite a los clientes realizar un seguimiento en tiempo real de sus envíos de carga. Otras características útiles de la aplicación incluyen la búsqueda interactiva de cronogramas de buques, las búsquedas de mapas de puertos basadas en ubicaciones y la actividad en directo de las cámaras de las puertas.

Acceso desde dispositivos móviles

Todos los dispositivos móviles obtienen acceso a AWS mediante Amazon API Gateway. Este método ofrece puntos de enlace con alta disponibilidad ubicados en bordes para el acceso a los recursos dentro de las nubes privadas virtuales existentes de Matson.

Informática sin servidor

Las funciones de AWS Lambda están diseñadas con un patrón de microservicios y adaptadas en función de contextos comerciales específicos basados en océanos, como el seguimiento de los envíos y los cronogramas de los buques.

Configuración y almacenamiento de bases de datos

Amazon DynamoDB administra la configuración, además de la configuración de los comentarios de los usuarios y las notificaciones de comentarios de los usuarios que se envían desde dispositivos móviles. DynamoDB Streams suministra notificaciones en tiempo real al equipo de atención al cliente de Matson.

Alertas y monitoreo de datos

Los clientes de Matson confían en la información de estado del buque y en el seguimiento de contenedores preciso y por minuto. El monitoreo y las alertas de eventos del sistema se logran mediante el uso de los servicios Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda y CloudWatch Logs.

Aplicación integral sin servidor

Matson ahora puede ofrecer a sus clientes una aplicación integral sin servidor que los ayuda a realizar un seguimiento de sus envíos, sin infraestructura para mantener.
Juegos
Epic Games utiliza AWS para potenciar el juego mundial Fortnite

Conozca cómo Epic Games utiliza AWS para llevar a Fortnite a más de 200 millones de jugadores en todo el mundo.

Más información

Crear las bases en la nube

Epic Games ha estado utilizando AWS desde 2012 y ahora se encuentra en la nube de AWS, donde ejecuta su flota mundial de servidores de juegos, sistemas de plataforma backend, bases de datos, sitios web, canalización de análisis y sistemas de procesamiento en AWS.

Un éxito de la noche a la mañana

En 2017, Epic Games lanzó Fortnite, un juego multiplataforma y multijugador que se convirtió en un éxito de la noche a la mañana. En su primer año, la base de usuarios de Fortnite creció en más de 100 veces hasta llegar a 200 millones de jugadores en todo el mundo.

Mover los límites de la escala

AWS fue parte integral del éxito de Fortnite. Con AWS, Epic Games puede organizar eventos en el mismo juego con cientos de millones de usuarios invitados sin tener que preocuparse por la capacidad, incorpora 125 millones de eventos por minuto en su canalización de análisis y maneja un crecimiento de más de 5 PB por mes en el almacén de datos.

Ofrecer la mejor experiencia de juego

Con AWS, Epic Games siempre mejora la experiencia de sus jugadores y ofrece juegos y elementos nuevos y emocionantes. La compañía planea expandir su uso de los servicios de AWS en el futuro, incluyendo el aprendizaje automático y los servicios en contenedores.
APLICACIONES EMPRESARIALES
BP mejora el nivel de eficiencia y logra mayor velocidad y agilidad en costos para sus aplicaciones empresariales fundamentales

Vea de qué manera BP simplificó y modernizó su conjunto de aplicaciones de SAP, lo que le permitió mejorar la experiencia del usuario y, al mismo tiempo, lograr agilidad en los costos y un rendimiento optimizado.
Más información

Administrar aplicaciones empresariales fundamentales

La organización de TI de BP administra las aplicaciones de SAP que utilizan miles de empleados de todo el mundo para tareas de cadena de suministro, compras, finanzas, entre otras.

Mejora de la velocidad y la agilidad en los costos

Con el objetivo de mejorar la velocidad y lograr agilidad en los costos, BP usó Amazon EC2 para migrar estas aplicaciones empresariales fundamentales a la nube. Además, el equipo creó instancias X1 de EC2 para incrementar la escala y respaldar el análisis en tiempo real.

Incrementar el nivel de rendimiento

Ahora el equipo puede poner sistemas en funcionamiento en horas en vez de semanas o meses. BP está observando incrementos en el nivel de rendimiento de manera general, incluida una mejora de velocidad del 40 por ciento en el sistema Lubricants ERP.

Proteger datos

Como parte de la migración a la nube, BP reajustó estándares de seguridad mediante el uso de los servicios AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch y AWS Trusted Advisor. Estos nuevos estándares ayudaron a BP a desarrollar un marco seguro para el funcionamiento de su organización de TI.

Buscar. Comprar. Implementar.

AWS Marketplace es un catálogo digital con miles de productos de software de proveedores de software independientes que facilitan la búsqueda, la aplicación de pruebas, la compra y la implementación de software que se ejecuta en AWS.

Más información

Analice nuestras soluciones

Aprendizaje automático

Cree soluciones con plataformas y servicios eficientes, y con la compatibilidad con marcos de aprendizaje automático más amplia disponible.

Más información

Análisis y lagos de datos

Almacene, categorice y analice de manera segura todos sus datos en un único repositorio centralizado.

Más información

Internet de las cosas

Un sistema de dispositivos amplios que conectan el mundo físico con la nube.

Más información

Informática sin servidor

Cree y ejecute aplicaciones y servicios sin preocuparse por los servidores.

Más información

Contenedores

Empaquete e implemente aplicaciones ligeras y proporcione un entorno de software estable y portátil para poder ejecutar de forma sencilla las aplicaciones y escalarlas en cualquier ubicación.

Más información

Aplicaciones empresariales

Cree con un conjunto sólido de servicios específicamente diseñados para cumplir los requisitos únicos de seguridad, conformidad, privacidad y gestión de las grandes organizaciones.

Más información

Almacenamiento

Opciones duraderas y rentables para copias de seguridad, recuperación de desastres y archivo de datos a escala de petabytes.

Más información

Cargas de trabajo de Windows

Capacidad de cómputo flexible y escalable para aplicaciones de Microsoft. Administre y proteja cargas de trabajo de Windows de forma segura.

Más información

Ver todas las soluciones

Diseñado para satisfacer los requisitos más exigentes

Seguridad

Funciones de seguridad integrales para cumplir los requisitos más exigentes.

Conformidad

Controles mejorados, auditoría y acreditaciones para una seguridad completa.

Solución híbrida

Cree arquitecturas híbridas para ampliar la infraestructura local en la nube.

Escalabilidad

Obtenga acceso a los recursos que necesite y aumente o reduzca la escala con unos pocos minutos de anticipación.

Conozca de qué manera nuestros clientes crean soluciones en AWS

Vea todas las historias de clientes

Red global de regiones de AWS

La nube de AWS incluye 61 zonas de disponibilidad en 20 regiones geográficas de todo el mundo. Además, se anunciaron planes para incorporar 12 zonas de disponibilidad y 4 regiones adicionales en Baréin, Ciudad del Cabo, Hong Kong y Milán.

Regiones y número de zonas de disponibilidad

EE.UU. Este
Norte de Virginia (6), Ohio (3)

EE. UU. Oeste
Norte de California (3), Oregón (4)

Asia Pacífico
Mumbai (2), Seúl (2), Singapur (3), Sídney (3), Tokio (4), Osaka-Local (1)

Canadá
Central (2)

China
Pekín (2), Ningxia (3)

Europa
Fráncfort (3), Irlanda (3), Londres (3), París (3), Estocolmo (3)

América del Sur
São Paulo (3)

GovCloud (EE.UU.)
EE.UU.-Este (3), EE.UU.-Oeste (3)

Nueva región (próximamente)

Baréin

Ciudad del Cabo

Hong Kong

Milán

Más información

Informes de analistas

Lea lo que dicen sobre AWS analistas destacados, como Gartner e IDC

AWS Training

Recursos bajo demanda para ayudarlo a desarrollar sus habilidades

Red de socios de AWS

Únase a la red de socios de AWS para crear y ampliar su negocio en la nube

AWS Marketplace

Lance una variedad de software conocidos en AWS en cuestión de minutos

#####EOF##### AWS Service Health Dashboard - Apr 4, 2019 PDT

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Amazon Web Services publishes our most up-to-the-minute information on service availability in the table below. Check back here any time to get current status information, or subscribe to an RSS feed to be notified of interruptions to each individual service. If you are experiencing a real-time, operational issue with one of our services that is not described below, please inform us by clicking on the "Contact Us" link to submit a service issue report. All dates and times are Pacific Time (PST/PDT).

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Remaining Services		Details	RSS
	Alexa for Business (N. Virginia)	Service is operating normally
	Amazon API Gateway (Montreal)	Service is operating normally
	Amazon API Gateway (N. California)	Service is operating normally
	Amazon API Gateway (N. Virginia)	Service is operating normally
	Amazon API Gateway (Ohio)	Service is operating normally
	Amazon API Gateway (Oregon)	Service is operating normally
	Amazon AppStream 2.0 (N. Virginia)	Service is operating normally
	Amazon AppStream 2.0 (Oregon)	Service is operating normally
	Amazon Athena (Montreal)	Service is operating normally
	Amazon Athena (N. Virginia)	Service is operating normally
	Amazon Athena (Ohio)	Service is operating normally
	Amazon Athena (Oregon)	Service is operating normally
	Amazon Chime	Service is operating normally
	Amazon Cloud Directory (Montreal)	Service is operating normally
	Amazon Cloud Directory (N. Virginia)	Service is operating normally
	Amazon Cloud Directory (Ohio)	Service is operating normally
	Amazon Cloud Directory (Oregon)	Service is operating normally
	Amazon CloudFront	Service is operating normally
	Amazon CloudSearch (N. California)	Service is operating normally
	Amazon CloudSearch (N. Virginia)	Service is operating normally
	Amazon CloudSearch (Oregon)	Service is operating normally
	Amazon CloudWatch (Montreal)	Service is operating normally
	Amazon CloudWatch (N. California)	Service is operating normally
	Amazon CloudWatch (N. Virginia)	Service is operating normally
	Amazon CloudWatch (Ohio)	Service is operating normally
	Amazon CloudWatch (Oregon)	Service is operating normally
	Amazon Cognito (Montreal)	Service is operating normally
	Amazon Cognito (N. Virginia)	Service is operating normally
	Amazon Cognito (Ohio)	Service is operating normally
	Amazon Cognito (Oregon)	Service is operating normally
	Amazon Comprehend (Montreal)	Service is operating normally
	Amazon Comprehend (N. Virginia)	Service is operating normally
	Amazon Comprehend (Ohio)	Service is operating normally
	Amazon Comprehend (Oregon)	Service is operating normally
	Amazon Comprehend Medical (N. Virginia)	Service is operating normally
	Amazon Comprehend Medical (Ohio)	Service is operating normally
	Amazon Comprehend Medical (Oregon)	Service is operating normally
	Amazon Connect (N. Virginia)	Service is operating normally
	Amazon Connect (Oregon)	Service is operating normally
	Amazon Data Lifecycle Manager (Montreal)	Service is operating normally
	Amazon Data Lifecycle Manager (N. California)	Service is operating normally
	Amazon Data Lifecycle Manager (N. Virginia)	Service is operating normally
	Amazon Data Lifecycle Manager (Ohio)	Service is operating normally
	Amazon Data Lifecycle Manager (Oregon)	Service is operating normally
	Amazon DocumentDB (N. Virginia)	Service is operating normally
	Amazon DocumentDB (Ohio)	Service is operating normally
	Amazon DocumentDB (Oregon)	Service is operating normally
	Amazon DynamoDB (Montreal)	Service is operating normally
	Amazon DynamoDB (N. California)	Service is operating normally
	Amazon DynamoDB (N. Virginia)	Service is operating normally
	Amazon DynamoDB (Ohio)	Service is operating normally
	Amazon DynamoDB (Oregon)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (N. California)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (N. Virginia)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (Ohio)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (Oregon)	Service is operating normally
	Amazon Elastic Compute Cloud (Montreal)	Service is operating normally
	Amazon Elastic Compute Cloud (N. California)	Service is operating normally
	Amazon Elastic Compute Cloud (N. Virginia)	Service is operating normally
	Amazon Elastic Compute Cloud (Ohio)	Service is operating normally
	Amazon Elastic Compute Cloud (Oregon)	Service is operating normally
	Amazon Elastic Container Registry (Montreal)	Service is operating normally
	Amazon Elastic Container Registry (N. California)	Service is operating normally
	Amazon Elastic Container Registry (N. Virginia)	Service is operating normally
	Amazon Elastic Container Registry (Ohio)	Service is operating normally
	Amazon Elastic Container Registry (Oregon)	Service is operating normally
	Amazon Elastic Container Service (Montreal)	Service is operating normally
	Amazon Elastic Container Service (N. California)	Service is operating normally
	Amazon Elastic Container Service (N. Virginia)	Service is operating normally
	Amazon Elastic Container Service (Ohio)	Service is operating normally
	Amazon Elastic Container Service (Oregon)	Service is operating normally
	Amazon Elastic Container Service for Kubernetes (N. Virginia)	Service is operating normally
	Amazon Elastic Container Service for Kubernetes (Oregon)	Service is operating normally
	Amazon Elastic File System (N. California)	Service is operating normally
	Amazon Elastic File System (N. Virginia)	Service is operating normally
	Amazon Elastic File System (Ohio)	Service is operating normally
	Amazon Elastic File System (Oregon)	Service is operating normally
	Amazon Elastic Load Balancing (Montreal)	Service is operating normally
	Amazon Elastic Load Balancing (N. California)	Service is operating normally
	Amazon Elastic Load Balancing (N. Virginia)	Service is operating normally
	Amazon Elastic Load Balancing (Ohio)	Service is operating normally
	Amazon Elastic Load Balancing (Oregon)	Service is operating normally
	Amazon Elastic MapReduce (Montreal)	Service is operating normally
	Amazon Elastic MapReduce (N. California)	Service is operating normally
	Amazon Elastic MapReduce (N. Virginia)	Service is operating normally
	Amazon Elastic MapReduce (Ohio)	Service is operating normally
	Amazon Elastic MapReduce (Oregon)	Service is operating normally
	Amazon Elastic Transcoder (N. California)	Service is operating normally
	Amazon Elastic Transcoder (N. Virginia)	Service is operating normally
	Amazon Elastic Transcoder (Oregon)	Service is operating normally
	Amazon ElastiCache (Montreal)	Service is operating normally
	Amazon ElastiCache (N. California)	Service is operating normally
	Amazon ElastiCache (N. Virginia)	Service is operating normally
	Amazon ElastiCache (Ohio)	Service is operating normally
	Amazon ElastiCache (Oregon)	Service is operating normally
	Amazon Elasticsearch Service (Montreal)	Service is operating normally
	Amazon Elasticsearch Service (N. California)	Service is operating normally
	Amazon Elasticsearch Service (N. Virginia)	Service is operating normally
	Amazon Elasticsearch Service (Ohio)	Service is operating normally
	Amazon Elasticsearch Service (Oregon)	Service is operating normally
	Amazon Forecast (N. Virginia)	Service is operating normally
	Amazon Forecast (Oregon)	Service is operating normally
	Amazon FreeRTOS (N. Virginia)	Service is operating normally
	Amazon FreeRTOS (Ohio)	Service is operating normally
	Amazon FreeRTOS (Oregon)	Service is operating normally
	Amazon FSx (N. Virginia)	Service is operating normally
	Amazon FSx (Ohio)	Service is operating normally
	Amazon FSx (Oregon)	Service is operating normally
	Amazon GameLift (Montreal)	Service is operating normally
	Amazon GameLift (N. California)	Service is operating normally
	Amazon GameLift (N. Virginia)	Service is operating normally
	Amazon GameLift (Ohio)	Service is operating normally
	Amazon GameLift (Oregon)	Service is operating normally
	Amazon Glacier (Montreal)	Service is operating normally
	Amazon Glacier (N. California)	Service is operating normally
	Amazon Glacier (N. Virginia)	Service is operating normally
	Amazon Glacier (Ohio)	Service is operating normally
	Amazon Glacier (Oregon)	Service is operating normally
	Amazon GuardDuty (Montreal)	Service is operating normally
	Amazon GuardDuty (N. California)	Service is operating normally
	Amazon GuardDuty (N. Virginia)	Service is operating normally
	Amazon GuardDuty (Ohio)	Service is operating normally
	Amazon GuardDuty (Oregon)	Service is operating normally
	Amazon Inspector (N. California)	Service is operating normally
	Amazon Inspector (N. Virginia)	Service is operating normally
	Amazon Inspector (Ohio)	Service is operating normally
	Amazon Inspector (Oregon)	Service is operating normally
	Amazon Inter-Region VPC Peering	Service is operating normally
	Amazon Kinesis Analytics (N. Virginia)	Service is operating normally
	Amazon Kinesis Analytics (Oregon)	Service is operating normally
	Amazon Kinesis Data Streams (Montreal)	Service is operating normally
	Amazon Kinesis Data Streams (N. California)	Service is operating normally
	Amazon Kinesis Data Streams (N. Virginia)	Service is operating normally
	Amazon Kinesis Data Streams (Ohio)	Service is operating normally
	Amazon Kinesis Data Streams (Oregon)	Service is operating normally
	Amazon Kinesis Firehose (Montreal)	Service is operating normally
	Amazon Kinesis Firehose (N. California)	Service is operating normally
	Amazon Kinesis Firehose (N. Virginia)	Service is operating normally
	Amazon Kinesis Firehose (Ohio)	Service is operating normally
	Amazon Kinesis Firehose (Oregon)	Service is operating normally
	Amazon Kinesis Video Streams (N. Virginia)	Service is operating normally
	Amazon Kinesis Video Streams (Oregon)	Service is operating normally
	Amazon Lex (N. Virginia)	Service is operating normally
	Amazon Lex (Oregon)	Service is operating normally
	Amazon Lightsail (Montreal)	Service is operating normally
	Amazon Lightsail (N. Virginia)	Service is operating normally
	Amazon Lightsail (Ohio)	Service is operating normally
	Amazon Lightsail (Oregon)	Service is operating normally
	Amazon Machine Learning (N. Virginia)	Service is operating normally
	Amazon Macie (N. Virginia)	Service is operating normally
	Amazon Macie (Oregon)	Service is operating normally
	Amazon MQ (N. California)	Service is operating normally
	Amazon MQ (N. Virginia)	Service is operating normally
	Amazon MQ (Ohio)	Service is operating normally
	Amazon MQ (Oregon)	Service is operating normally
	Amazon Neptune (N. Virginia)	Service is operating normally
	Amazon Neptune (Ohio)	Service is operating normally
	Amazon Neptune (Oregon)	Service is operating normally
	Amazon Pinpoint (N. Virginia)	Service is operating normally
	Amazon Polly (Montreal)	Service is operating normally
	Amazon Polly (N. California)	Service is operating normally
	Amazon Polly (N. Virginia)	Service is operating normally
	Amazon Polly (Ohio)	Service is operating normally
	Amazon Polly (Oregon)	Service is operating normally
	Amazon Redshift (Montreal)	Service is operating normally
	Amazon Redshift (N. California)	Service is operating normally
	Amazon Redshift (N. Virginia)	Service is operating normally
	Amazon Redshift (Ohio)	Service is operating normally
	Amazon Redshift (Oregon)	Service is operating normally
	Amazon Rekognition (N. Virginia)	Service is operating normally
	Amazon Rekognition (Ohio)	Service is operating normally
	Amazon Rekognition (Oregon)	Service is operating normally
	Amazon Relational Database Service (Montreal)	Service is operating normally
	Amazon Relational Database Service (N. California)	Service is operating normally
	Amazon Relational Database Service (N. Virginia)	Service is operating normally
	Amazon Relational Database Service (Ohio)	Service is operating normally
	Amazon Relational Database Service (Oregon)	Service is operating normally
	Amazon Route 53	Service is operating normally
	Amazon Route 53 Domain Registration	Service is operating normally
	Amazon Route 53 Private DNS (Montreal)	Service is operating normally
	Amazon Route 53 Private DNS (N. California)	Service is operating normally
	Amazon Route 53 Private DNS (N. Virginia)	Service is operating normally
	Amazon Route 53 Private DNS (Ohio)	Service is operating normally
	Amazon Route 53 Private DNS (Oregon)	Service is operating normally
	Amazon Route 53 Resolver (N. Virginia)	Service is operating normally
	Amazon Route 53 Resolver (Ohio)	Service is operating normally
	Amazon Route 53 Resolver (Oregon)	Service is operating normally
	Amazon SageMaker (N. Virginia)	Service is operating normally
	Amazon SageMaker (Ohio)	Service is operating normally
	Amazon SageMaker (Oregon)	Service is operating normally
	Amazon Simple Email Service (N. Virginia)	Service is operating normally
	Amazon Simple Email Service (Oregon)	Service is operating normally
	Amazon Simple Notification Service (Montreal)	Service is operating normally
	Amazon Simple Notification Service (N. California)	Service is operating normally
	Amazon Simple Notification Service (N. Virginia)	Service is operating normally
	Amazon Simple Notification Service (Ohio)	Service is operating normally
	Amazon Simple Notification Service (Oregon)	Service is operating normally
	Amazon Simple Queue Service (Montreal)	Service is operating normally
	Amazon Simple Queue Service (N. California)	Service is operating normally
	Amazon Simple Queue Service (N. Virginia)	Service is operating normally
	Amazon Simple Queue Service (Ohio)	Service is operating normally
	Amazon Simple Queue Service (Oregon)	Service is operating normally
	Amazon Simple Storage Service (Montreal)	Service is operating normally
	Amazon Simple Storage Service (N. California)	Service is operating normally
	Amazon Simple Storage Service (N. Virginia)	Service is operating normally
	Amazon Simple Storage Service (Ohio)	Service is operating normally
	Amazon Simple Storage Service (Oregon)	Service is operating normally
	Amazon Simple Workflow Service (Montreal)	Service is operating normally
	Amazon Simple Workflow Service (N. California)	Service is operating normally
	Amazon Simple Workflow Service (N. Virginia)	Service is operating normally
	Amazon Simple Workflow Service (Ohio)	Service is operating normally
	Amazon Simple Workflow Service (Oregon)	Service is operating normally
	Amazon SimpleDB (N. California)	Service is operating normally
	Amazon SimpleDB (N. Virginia)	Service is operating normally
	Amazon SimpleDB (Oregon)	Service is operating normally
	Amazon Sumerian (N. Virginia)	Service is operating normally
	Amazon Sumerian (Ohio)	Service is operating normally
	Amazon Sumerian (Oregon)	Service is operating normally
	Amazon Transcribe (Montreal)	Service is operating normally
	Amazon Transcribe (N. Virginia)	Service is operating normally
	Amazon Transcribe (Ohio)	Service is operating normally
	Amazon Transcribe (Oregon)	Service is operating normally
	Amazon Translate (N. Virginia)	Service is operating normally
	Amazon Translate (Ohio)	Service is operating normally
	Amazon Translate (Oregon)	Service is operating normally
	Amazon Virtual Private Cloud (Montreal)	Service is operating normally
	Amazon Virtual Private Cloud (N. California)	Service is operating normally
	Amazon Virtual Private Cloud (N. Virginia)	Service is operating normally
	Amazon Virtual Private Cloud (Ohio)	Service is operating normally
	Amazon Virtual Private Cloud (Oregon)	Service is operating normally
	Amazon WorkDocs (N. Virginia)	Service is operating normally
	Amazon WorkDocs (Oregon)	Service is operating normally
	Amazon Worklink (N. Virginia)	Service is operating normally
	Amazon Worklink (Ohio)	Service is operating normally
	Amazon Worklink (Oregon)	Service is operating normally
	Amazon WorkMail (N. Virginia)	Service is operating normally
	Amazon WorkMail (Oregon)	Service is operating normally
	Amazon WorkSpaces (Montreal)	Service is operating normally
	Amazon WorkSpaces (N. Virginia)	Service is operating normally
	Amazon WorkSpaces (Oregon)	Service is operating normally
	Auto Scaling (Montreal)	Service is operating normally
	Auto Scaling (N. California)	Service is operating normally
	Auto Scaling (N. Virginia)	Service is operating normally
	Auto Scaling (Ohio)	Service is operating normally
	Auto Scaling (Oregon)	Service is operating normally
	AWS Application Discovery Service (Oregon)	Service is operating normally
	AWS AppSync (N. Virginia)	Service is operating normally
	AWS AppSync (Ohio)	Service is operating normally
	AWS AppSync (Oregon)	Service is operating normally
	AWS Backup (N. Virginia)	Service is operating normally
	AWS Backup (Ohio)	Service is operating normally
	AWS Backup (Oregon)	Service is operating normally
	AWS Batch (Montreal)	Service is operating normally
	AWS Batch (N. California)	Service is operating normally
	AWS Batch (N. Virginia)	Service is operating normally
	AWS Batch (Ohio)	Service is operating normally
	AWS Batch (Oregon)	Service is operating normally
	AWS Billing Console	Service is operating normally
	AWS Certificate Manager (Montreal)	Service is operating normally
	AWS Certificate Manager (N. California)	Service is operating normally
	AWS Certificate Manager (N. Virginia)	Service is operating normally
	AWS Certificate Manager (Ohio)	Service is operating normally
	AWS Certificate Manager (Oregon)	Service is operating normally
	AWS Client VPN (N. Virginia)	Service is operating normally
	AWS Client VPN (Ohio)	Service is operating normally
	AWS Client VPN (Oregon)	Service is operating normally
	AWS Cloud Map (Montreal)	Service is operating normally
	AWS Cloud Map (N. California)	Service is operating normally
	AWS Cloud Map (N. Virginia)	Service is operating normally
	AWS Cloud Map (Ohio)	Service is operating normally
	AWS Cloud Map (Oregon)	Service is operating normally
	AWS Cloud9 (N. Virginia)	Service is operating normally
	AWS Cloud9 (Ohio)	Service is operating normally
	AWS Cloud9 (Oregon)	Service is operating normally
	AWS CloudFormation (Montreal)	Service is operating normally
	AWS CloudFormation (N. California)	Service is operating normally
	AWS CloudFormation (N. Virginia)	Service is operating normally
	AWS CloudFormation (Ohio)	Service is operating normally
	AWS CloudFormation (Oregon)	Service is operating normally
	AWS CloudHSM (Montreal)	Service is operating normally
	AWS CloudHSM (N. California)	Service is operating normally
	AWS CloudHSM (N. Virginia)	Service is operating normally
	AWS CloudHSM (Ohio)	Service is operating normally
	AWS CloudHSM (Oregon)	Service is operating normally
	AWS CloudTrail (Montreal)	Service is operating normally
	AWS CloudTrail (N. California)	Service is operating normally
	AWS CloudTrail (N. Virginia)	Service is operating normally
	AWS CloudTrail (Ohio)	Service is operating normally
	AWS CloudTrail (Oregon)	Service is operating normally
	AWS CodeBuild (Montreal)	Service is operating normally
	AWS CodeBuild (N. California)	Service is operating normally
	AWS CodeBuild (N. Virginia)	Service is operating normally
	AWS CodeBuild (Ohio)	Service is operating normally
	AWS CodeBuild (Oregon)	Service is operating normally
	AWS CodeCommit (Montreal)	Service is operating normally
	AWS CodeCommit (N. California)	Service is operating normally
	AWS CodeCommit (N. Virginia)	Service is operating normally
	AWS CodeCommit (Ohio)	Service is operating normally
	AWS CodeCommit (Oregon)	Service is operating normally
	AWS CodeDeploy (Montreal)	Service is operating normally
	AWS CodeDeploy (N. California)	Service is operating normally
	AWS CodeDeploy (N. Virginia)	Service is operating normally
	AWS CodeDeploy (Ohio)	Service is operating normally
	AWS CodeDeploy (Oregon)	Service is operating normally
	AWS CodePipeline (Montreal)	Service is operating normally
	AWS CodePipeline (N. California)	Service is operating normally
	AWS CodePipeline (N. Virginia)	Service is operating normally
	AWS CodePipeline (Ohio)	Service is operating normally
	AWS CodePipeline (Oregon)	Service is operating normally
	AWS CodeStar (Montreal)	Service is operating normally
	AWS CodeStar (N. California)	Service is operating normally
	AWS CodeStar (N. Virginia)	Service is operating normally
	AWS CodeStar (Ohio)	Service is operating normally
	AWS CodeStar (Oregon)	Service is operating normally
	AWS Config (Montreal)	Service is operating normally
	AWS Config (N. California)	Service is operating normally
	AWS Config (N. Virginia)	Service is operating normally
	AWS Config (Ohio)	Service is operating normally
	AWS Config (Oregon)	Service is operating normally
	AWS Control Tower (N. Virginia)	Service is operating normally
	AWS Control Tower (Ohio)	Service is operating normally
	AWS Control Tower (Oregon)	Service is operating normally
	AWS Data Pipeline (N. Virginia)	Service is operating normally
	AWS Data Pipeline (Oregon)	Service is operating normally
	AWS Database Migration Service (Montreal)	Service is operating normally
	AWS Database Migration Service (N. California)	Service is operating normally
	AWS Database Migration Service (N. Virginia)	Service is operating normally
	AWS Database Migration Service (Ohio)	Service is operating normally
	AWS Database Migration Service (Oregon)	Service is operating normally
	AWS DataSync (N. California)	Service is operating normally
	AWS DataSync (N. Virginia)	Service is operating normally
	AWS DataSync (Ohio)	Service is operating normally
	AWS DataSync (Oregon)	Service is operating normally
	AWS DeepLens (N. Virginia)	Service is operating normally
	AWS Device Farm (Oregon)	Service is operating normally
	AWS Direct Connect (Montreal)	Service is operating normally
	AWS Direct Connect (N. California)	Service is operating normally
	AWS Direct Connect (N. Virginia)	Service is operating normally
	AWS Direct Connect (Ohio)	Service is operating normally
	AWS Direct Connect (Oregon)	Service is operating normally
	AWS Directory Service (Montreal)	Service is operating normally
	AWS Directory Service (N. California)	Service is operating normally
	AWS Directory Service (N. Virginia)	Service is operating normally
	AWS Directory Service (Ohio)	Service is operating normally
	AWS Directory Service (Oregon)	Service is operating normally
	AWS Elastic Beanstalk (Montreal)	Service is operating normally
	AWS Elastic Beanstalk (N. California)	Service is operating normally
	AWS Elastic Beanstalk (N. Virginia)	Service is operating normally
	AWS Elastic Beanstalk (Ohio)	Service is operating normally
	AWS Elastic Beanstalk (Oregon)	Service is operating normally
	AWS Elemental MediaConnect (N. California)	Service is operating normally
	AWS Elemental MediaConnect (N. Virginia)	Service is operating normally
	AWS Elemental MediaConnect (Oregon)	Service is operating normally
	AWS Elemental MediaConvert (Montreal)	Service is operating normally
	AWS Elemental MediaConvert (N. California)	Service is operating normally
	AWS Elemental MediaConvert (N. Virginia)	Service is operating normally
	AWS Elemental MediaConvert (Ohio)	Service is operating normally
	AWS Elemental MediaConvert (Oregon)	Service is operating normally
	AWS Elemental MediaLive (N. Virginia)	Service is operating normally
	AWS Elemental MediaLive (Oregon)	Service is operating normally
	AWS Elemental MediaPackage (N. Virginia)	Service is operating normally
	AWS Elemental MediaPackage (Oregon)	Service is operating normally
	AWS Elemental MediaStore (N. Virginia)	Service is operating normally
	AWS Elemental MediaStore (Oregon)	Service is operating normally
	AWS Elemental MediaTailor (N. Virginia)	Service is operating normally
	AWS Elemental MediaTailor (Oregon)	Service is operating normally
	AWS Firewall Manager (N. California)	Service is operating normally
	AWS Firewall Manager (N. Virginia)	Service is operating normally
	AWS Firewall Manager (Ohio)	Service is operating normally
	AWS Global Accelerator	Service is operating normally
	AWS Glue (Montreal)	Service is operating normally
	AWS Glue (N. California)	Service is operating normally
	AWS Glue (N. Virginia)	Service is operating normally
	AWS Glue (Ohio)	Service is operating normally
	AWS Glue (Oregon)	Service is operating normally
	AWS Greengrass (N. Virginia)	Service is operating normally
	AWS Greengrass (Oregon)	Service is operating normally
	AWS Identity and Access Management	Service is operating normally
	AWS Import/Export	Service is operating normally
	AWS Internet Connectivity (Montreal)	Service is operating normally
	AWS Internet Connectivity (N. California)	Service is operating normally
	AWS Internet Connectivity (N. Virginia)	Service is operating normally
	AWS Internet Connectivity (Ohio)	Service is operating normally
	AWS Internet Connectivity (Oregon)	Service is operating normally
	AWS IoT (N. Virginia)	Service is operating normally
	AWS IoT (Ohio)	Service is operating normally
	AWS IoT (Oregon)	Service is operating normally
	AWS IoT 1-Click (N. Virginia)	Service is operating normally
	AWS IoT 1-Click (Ohio)	Service is operating normally
	AWS IoT 1-Click (Oregon)	Service is operating normally
	AWS IoT Analytics (N. Virginia)	Service is operating normally
	AWS IoT Analytics (Ohio)	Service is operating normally
	AWS IoT Analytics (Oregon)	Service is operating normally
	AWS IoT Device Defender (N. Virginia)	Service is operating normally
	AWS IoT Device Defender (Ohio)	Service is operating normally
	AWS IoT Device Defender (Oregon)	Service is operating normally
	AWS IoT Device Management	Service is operating normally
	AWS Key Management Service (Montreal)	Service is operating normally
	AWS Key Management Service (N. California)	Service is operating normally
	AWS Key Management Service (N. Virginia)	Service is operating normally
	AWS Key Management Service (Ohio)	Service is operating normally
	AWS Key Management Service (Oregon)	Service is operating normally
	AWS Lambda (Montreal)	Service is operating normally
	AWS Lambda (N. California)	Service is operating normally
	AWS Lambda (N. Virginia)	Service is operating normally
	AWS Lambda (Ohio)	Service is operating normally
	AWS Lambda (Oregon)	Service is operating normally
	AWS License Manager (N. Virginia)	Service is operating normally
	AWS License Manager (Ohio)	Service is operating normally
	AWS License Manager (Oregon)	Service is operating normally
	AWS Management Console	Service is operating normally
	AWS Marketplace	Service is operating normally
	AWS Migration Hub (Oregon)	Service is operating normally
	AWS Mobile Hub (N. Virginia)	Service is operating normally
	AWS NAT Gateway (Montreal)	Service is operating normally
	AWS NAT Gateway (N. California)	Service is operating normally
	AWS NAT Gateway (N. Virginia)	Service is operating normally
	AWS NAT Gateway (Ohio)	Service is operating normally
	AWS NAT Gateway (Oregon)	Service is operating normally
	AWS OpsWorks for Chef Automate (N. California)	Service is operating normally
	AWS OpsWorks for Chef Automate (N. Virginia)	Service is operating normally
	AWS OpsWorks for Chef Automate (Ohio)	Service is operating normally
	AWS OpsWorks for Chef Automate (Oregon)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (N. California)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (N. Virginia)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Ohio)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Oregon)	Service is operating normally
	AWS OpsWorks Stacks (N. California)	Service is operating normally
	AWS OpsWorks Stacks (N. Virginia)	Service is operating normally
	AWS OpsWorks Stacks (Ohio)	Service is operating normally
	AWS OpsWorks Stacks (Oregon)	Service is operating normally
	AWS Organizations	Service is operating normally
	AWS QuickSight (N. Virginia)	Service is operating normally
	AWS QuickSight (Ohio)	Service is operating normally
	AWS QuickSight (Oregon)	Service is operating normally
	AWS Resource Access Manager (Montreal)	Service is operating normally
	AWS Resource Access Manager (N. California)	Service is operating normally
	AWS Resource Access Manager (N. Virginia)	Service is operating normally
	AWS Resource Access Manager (Ohio)	Service is operating normally
	AWS Resource Access Manager (Oregon)	Service is operating normally
	AWS Resource Groups	Service is operating normally
	AWS Resource Groups Tagging API (Montreal)	Service is operating normally
	AWS Resource Groups Tagging API (N. California)	Service is operating normally
	AWS Resource Groups Tagging API (N. Virginia)	Service is operating normally
	AWS Resource Groups Tagging API (Ohio)	Service is operating normally
	AWS Resource Groups Tagging API (Oregon)	Service is operating normally
	AWS RoboMaker (N. Virginia)	Service is operating normally
	AWS RoboMaker (Oregon)	Service is operating normally
	AWS Secrets Manager (Montreal)	Service is operating normally
	AWS Secrets Manager (N. California)	Service is operating normally
	AWS Secrets Manager (N. Virginia)	Service is operating normally
	AWS Secrets Manager (Ohio)	Service is operating normally
	AWS Secrets Manager (Oregon)	Service is operating normally
	AWS Security Hub (Montreal)	Service is operating normally
	AWS Security Hub (N. California)	Service is operating normally
	AWS Security Hub (N. Virginia)	Service is operating normally
	AWS Security Hub (Ohio)	Service is operating normally
	AWS Security Hub (Oregon)	Service is operating normally
	AWS Serverless Application Repository (Montreal)	Service is operating normally
	AWS Serverless Application Repository (N. California)	Service is operating normally
	AWS Serverless Application Repository (N. Virginia)	Service is operating normally
	AWS Serverless Application Repository (Ohio)	Service is operating normally
	AWS Serverless Application Repository (Oregon)	Service is operating normally
	AWS Service Catalog (Montreal)	Service is operating normally
	AWS Service Catalog (N. Virginia)	Service is operating normally
	AWS Service Catalog (Ohio)	Service is operating normally
	AWS Service Catalog (Oregon)	Service is operating normally
	AWS Single Sign-On (N. Virginia)	Service is operating normally
	AWS Step Functions (Montreal)	Service is operating normally
	AWS Step Functions (N. California)	Service is operating normally
	AWS Step Functions (N. Virginia)	Service is operating normally
	AWS Step Functions (Ohio)	Service is operating normally
	AWS Step Functions (Oregon)	Service is operating normally
	AWS Storage Gateway (Montreal)	Service is operating normally
	AWS Storage Gateway (N. California)	Service is operating normally
	AWS Storage Gateway (N. Virginia)	Service is operating normally
	AWS Storage Gateway (Ohio)	Service is operating normally
	AWS Storage Gateway (Oregon)	Service is operating normally
	AWS Systems Manager (Montreal)	Service is operating normally
	AWS Systems Manager (N. California)	Service is operating normally
	AWS Systems Manager (N. Virginia)	Service is operating normally
	AWS Systems Manager (Ohio)	Service is operating normally
	AWS Systems Manager (Oregon)	Service is operating normally
	AWS Transfer for SFTP (Montreal)	Service is operating normally
	AWS Transfer for SFTP (N. California)	Service is operating normally
	AWS Transfer for SFTP (N. Virginia)	Service is operating normally
	AWS Transfer for SFTP (Ohio)	Service is operating normally
	AWS Transfer for SFTP (Oregon)	Service is operating normally
	AWS Transit Gateway (Montreal)	Service is operating normally
	AWS Transit Gateway (N. California)	Service is operating normally
	AWS Transit Gateway (N. Virginia)	Service is operating normally
	AWS Transit Gateway (Ohio)	Service is operating normally
	AWS Transit Gateway (Oregon)	Service is operating normally
	AWS VPCE PrivateLink (Montreal)	Service is operating normally
	AWS VPCE PrivateLink (N. California)	Service is operating normally
	AWS VPCE PrivateLink (N. Virginia)	Service is operating normally
	AWS VPCE PrivateLink (Ohio)	Service is operating normally
	AWS VPCE PrivateLink (Oregon)	Service is operating normally
	AWS WAF	Service is operating normally
	AWS X-Ray (Montreal)	Service is operating normally
	AWS X-Ray (N. California)	Service is operating normally
	AWS X-Ray (N. Virginia)	Service is operating normally
	AWS X-Ray (Ohio)	Service is operating normally
	AWS X-Ray (Oregon)	Service is operating normally

Recent Events		Details	RSS
	No recent events.

Remaining Services		Details	RSS
	Amazon API Gateway (Sao Paulo)	Service is operating normally
	Amazon Chime	Service is operating normally
	Amazon CloudFront	Service is operating normally
	Amazon CloudSearch (Sao Paulo)	Service is operating normally
	Amazon CloudWatch (Sao Paulo)	Service is operating normally
	Amazon Data Lifecycle Manager (Sao Paulo)	Service is operating normally
	Amazon DynamoDB (Sao Paulo)	Service is operating normally
	Amazon Elastic Compute Cloud (Sao Paulo)	Service is operating normally
	Amazon Elastic Container Registry (Sao Paulo)	Service is operating normally
	Amazon Elastic Container Service (Sao Paulo)	Service is operating normally
	Amazon Elastic Load Balancing (Sao Paulo)	Service is operating normally
	Amazon Elastic MapReduce (Sao Paulo)	Service is operating normally
	Amazon ElastiCache (Sao Paulo)	Service is operating normally
	Amazon Elasticsearch Service (Sao Paulo)	Service is operating normally
	Amazon GameLift (Sao Paulo)	Service is operating normally
	Amazon GuardDuty (Sao Paulo)	Service is operating normally
	Amazon Inter-Region VPC Peering	Service is operating normally
	Amazon Kinesis Data Streams (Sao Paulo)	Service is operating normally
	Amazon Kinesis Firehose (Sao Paulo)	Service is operating normally
	Amazon Polly (Sao Paulo)	Service is operating normally
	Amazon Redshift (Sao Paulo)	Service is operating normally
	Amazon Relational Database Service (Sao Paulo)	Service is operating normally
	Amazon Route 53	Service is operating normally
	Amazon Route 53 Domain Registration	Service is operating normally
	Amazon Route 53 Private DNS (Sao Paulo)	Service is operating normally
	Amazon Simple Notification Service (Sao Paulo)	Service is operating normally
	Amazon Simple Queue Service (Sao Paulo)	Service is operating normally
	Amazon Simple Storage Service (Sao Paulo)	Service is operating normally
	Amazon Simple Workflow Service (Sao Paulo)	Service is operating normally
	Amazon SimpleDB (Sao Paulo)	Service is operating normally
	Amazon Transcribe (Sao Paulo)	Service is operating normally
	Amazon Virtual Private Cloud (Sao Paulo)	Service is operating normally
	Amazon WorkSpaces (Sao Paulo)	Service is operating normally
	Auto Scaling (Sao Paulo)	Service is operating normally
	AWS Batch (Sao Paulo)	Service is operating normally
	AWS Billing Console	Service is operating normally
	AWS Certificate Manager (Sao Paulo)	Service is operating normally
	AWS CloudFormation (Sao Paulo)	Service is operating normally
	AWS CloudTrail (Sao Paulo)	Service is operating normally
	AWS CodeBuild (Sao Paulo)	Service is operating normally
	AWS CodeCommit (Sao Paulo)	Service is operating normally
	AWS CodeDeploy (Sao Paulo)	Service is operating normally
	AWS CodePipeline (Sao Paulo)	Service is operating normally
	AWS Config (Sao Paulo)	Service is operating normally
	AWS Database Migration Service (Sao Paulo)	Service is operating normally
	AWS Direct Connect (Sao Paulo)	Service is operating normally
	AWS Directory Service (Sao Paulo)	Service is operating normally
	AWS Elastic Beanstalk (Sao Paulo)	Service is operating normally
	AWS Elemental MediaConvert (Sao Paulo)	Service is operating normally
	AWS Elemental MediaLive (Sao Paulo)	Service is operating normally
	AWS Global Accelerator	Service is operating normally
	AWS Identity and Access Management	Service is operating normally
	AWS Internet Connectivity (Sao Paulo)	Service is operating normally
	AWS IoT Device Management	Service is operating normally
	AWS Key Management Service (Sao Paulo)	Service is operating normally
	AWS Lambda (Sao Paulo)	Service is operating normally
	AWS Management Console	Service is operating normally
	AWS Marketplace	Service is operating normally
	AWS NAT Gateway (Sao Paulo)	Service is operating normally
	AWS OpsWorks Stacks (Sao Paulo)	Service is operating normally
	AWS Organizations	Service is operating normally
	AWS Resource Groups	Service is operating normally
	AWS Resource Groups Tagging API (Sao Paulo)	Service is operating normally
	AWS Secrets Manager (Sao Paulo)	Service is operating normally
	AWS Security Hub (Sao Paulo)	Service is operating normally
	AWS Serverless Application Repository (Sao Paulo)	Service is operating normally
	AWS Step Functions (Sao Paulo)	Service is operating normally
	AWS Storage Gateway (Sao Paulo)	Service is operating normally
	AWS Systems Manager (Sao Paulo)	Service is operating normally
	AWS VPCE PrivateLink (Sao Paulo)	Service is operating normally
	AWS WAF	Service is operating normally
	AWS X-Ray (Sao Paulo)	Service is operating normally

Recent Events		Details	RSS
	No recent events.

Remaining Services		Details	RSS
	Amazon API Gateway (Frankfurt)	Service is operating normally
	Amazon API Gateway (Ireland)	Service is operating normally
	Amazon API Gateway (London)	Service is operating normally
	Amazon API Gateway (Paris)	Service is operating normally
	Amazon API Gateway (Stockholm)	Service is operating normally
	Amazon AppStream 2.0 (Frankfurt)	Service is operating normally
	Amazon AppStream 2.0 (Ireland)	Service is operating normally
	Amazon Athena (Frankfurt)	Service is operating normally
	Amazon Athena (Ireland)	Service is operating normally
	Amazon Athena (London)	Service is operating normally
	Amazon Chime	Service is operating normally
	Amazon Cloud Directory (Frankfurt)	Service is operating normally
	Amazon Cloud Directory (Ireland)	Service is operating normally
	Amazon Cloud Directory (London)	Service is operating normally
	Amazon CloudFront	Service is operating normally
	Amazon CloudSearch (Frankfurt)	Service is operating normally
	Amazon CloudSearch (Ireland)	Service is operating normally
	Amazon CloudWatch (Frankfurt)	Service is operating normally
	Amazon CloudWatch (Ireland)	Service is operating normally
	Amazon CloudWatch (London)	Service is operating normally
	Amazon CloudWatch (Paris)	Service is operating normally
	Amazon CloudWatch (Stockholm)	Service is operating normally
	Amazon Cognito (Frankfurt)	Service is operating normally
	Amazon Cognito (Ireland)	Service is operating normally
	Amazon Cognito (London)	Service is operating normally
	Amazon Comprehend (Frankfurt)	Service is operating normally
	Amazon Comprehend (Ireland)	Service is operating normally
	Amazon Comprehend (London)	Service is operating normally
	Amazon Comprehend Medical (Ireland)	Service is operating normally
	Amazon Connect (Frankfurt)	Service is operating normally
	Amazon Data Lifecycle Manager (Frankfurt)	Service is operating normally
	Amazon Data Lifecycle Manager (Ireland)	Service is operating normally
	Amazon Data Lifecycle Manager (London)	Service is operating normally
	Amazon Data Lifecycle Manager (Paris)	Service is operating normally
	Amazon DocumentDB (Ireland)	Service is operating normally
	Amazon DynamoDB (Frankfurt)	Service is operating normally
	Amazon DynamoDB (Ireland)	Service is operating normally
	Amazon DynamoDB (London)	Service is operating normally
	Amazon DynamoDB (Paris)	Service is operating normally
	Amazon DynamoDB (Stockholm)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (Ireland)	Service is operating normally
	Amazon Elastic Compute Cloud (Frankfurt)	Service is operating normally
	Amazon Elastic Compute Cloud (Ireland)	Service is operating normally
	Amazon Elastic Compute Cloud (London)	Service is operating normally
	Amazon Elastic Compute Cloud (Paris)	Service is operating normally
	Amazon Elastic Compute Cloud (Stockholm)	Service is operating normally
	Amazon Elastic Container Registry (Frankfurt)	Service is operating normally
	Amazon Elastic Container Registry (Ireland)	Service is operating normally
	Amazon Elastic Container Registry (London)	Service is operating normally
	Amazon Elastic Container Registry (Stockholm)	Service is operating normally
	Amazon Elastic Container Service (Frankfurt)	Service is operating normally
	Amazon Elastic Container Service (Ireland)	Service is operating normally
	Amazon Elastic Container Service (London)	Service is operating normally
	Amazon Elastic Container Service (Stockholm)	Service is operating normally
	Amazon Elastic Container Service for Kubernetes (London)	Service is operating normally
	Amazon Elastic Container Service for Kubernetes (Paris)	Service is operating normally
	Amazon Elastic Container Service for Kubernetes (Stockholm)	Service is operating normally
	Amazon Elastic File System (Frankfurt)	Service is operating normally
	Amazon Elastic File System (Ireland)	Service is operating normally
	Amazon Elastic File System (London)	Service is operating normally
	Amazon Elastic Load Balancing (Frankfurt)	Service is operating normally
	Amazon Elastic Load Balancing (Ireland)	Service is operating normally
	Amazon Elastic Load Balancing (London)	Service is operating normally
	Amazon Elastic Load Balancing (Paris)	Service is operating normally
	Amazon Elastic Load Balancing (Stockholm)	Service is operating normally
	Amazon Elastic MapReduce (Frankfurt)	Service is operating normally
	Amazon Elastic MapReduce (Ireland)	Service is operating normally
	Amazon Elastic MapReduce (London)	Service is operating normally
	Amazon Elastic MapReduce (Paris)	Service is operating normally
	Amazon Elastic MapReduce (Stockholm)	Service is operating normally
	Amazon Elastic Transcoder (Ireland)	Service is operating normally
	Amazon ElastiCache (Frankfurt)	Service is operating normally
	Amazon ElastiCache (Ireland)	Service is operating normally
	Amazon ElastiCache (London)	Service is operating normally
	Amazon ElastiCache (Paris)	Service is operating normally
	Amazon ElastiCache (Stockholm)	Service is operating normally
	Amazon Elasticsearch Service (Frankfurt)	Service is operating normally
	Amazon Elasticsearch Service (Ireland)	Service is operating normally
	Amazon Elasticsearch Service (London)	Service is operating normally
	Amazon Elasticsearch Service (Paris)	Service is operating normally
	Amazon Elasticsearch Service (Stockholm)	Service is operating normally
	Amazon FreeRTOS (Frankfurt)	Service is operating normally
	Amazon FreeRTOS (Ireland)	Service is operating normally
	Amazon FreeRTOS (London)	Service is operating normally
	Amazon FSx (Ireland)	Service is operating normally
	Amazon GameLift (Frankfurt)	Service is operating normally
	Amazon GameLift (Ireland)	Service is operating normally
	Amazon GameLift (London)	Service is operating normally
	Amazon Glacier (Frankfurt)	Service is operating normally
	Amazon Glacier (Ireland)	Service is operating normally
	Amazon Glacier (London)	Service is operating normally
	Amazon Glacier (Paris)	Service is operating normally
	Amazon Glacier (Stockholm)	Service is operating normally
	Amazon GuardDuty (Frankfurt)	Service is operating normally
	Amazon GuardDuty (Ireland)	Service is operating normally
	Amazon GuardDuty (London)	Service is operating normally
	Amazon Inspector (Frankfurt)	Service is operating normally
	Amazon Inspector (Ireland)	Service is operating normally
	Amazon Inter-Region VPC Peering	Service is operating normally
	Amazon Kinesis Analytics (Ireland)	Service is operating normally
	Amazon Kinesis Data Streams (Frankfurt)	Service is operating normally
	Amazon Kinesis Data Streams (Ireland)	Service is operating normally
	Amazon Kinesis Data Streams (London)	Service is operating normally
	Amazon Kinesis Data Streams (Paris)	Service is operating normally
	Amazon Kinesis Data Streams (Stockholm)	Service is operating normally
	Amazon Kinesis Firehose (Frankfurt)	Service is operating normally
	Amazon Kinesis Firehose (Ireland)	Service is operating normally
	Amazon Kinesis Firehose (London)	Service is operating normally
	Amazon Kinesis Firehose (Paris)	Service is operating normally
	Amazon Kinesis Video Streams (Frankfurt)	Service is operating normally
	Amazon Kinesis Video Streams (Ireland)	Service is operating normally
	Amazon Lex (Ireland)	Service is operating normally
	Amazon Lightsail (Frankfurt)	Service is operating normally
	Amazon Lightsail (Ireland)	Service is operating normally
	Amazon Lightsail (London)	Service is operating normally
	Amazon Lightsail (Paris)	Service is operating normally
	Amazon Machine Learning (Ireland)	Service is operating normally
	Amazon MQ (Frankfurt)	Service is operating normally
	Amazon MQ (Ireland)	Service is operating normally
	Amazon MQ (London)	Service is operating normally
	Amazon Neptune (Ireland)	Service is operating normally
	Amazon Neptune (London)	Service is operating normally
	Amazon Polly (Frankfurt)	Service is operating normally
	Amazon Polly (Ireland)	Service is operating normally
	Amazon Polly (London)	Service is operating normally
	Amazon Polly (Paris)	Service is operating normally
	Amazon Redshift (Frankfurt)	Service is operating normally
	Amazon Redshift (Ireland)	Service is operating normally
	Amazon Redshift (London)	Service is operating normally
	Amazon Redshift (Paris)	Service is operating normally
	Amazon Redshift (Stockholm)	Service is operating normally
	Amazon Rekognition (Ireland)	Service is operating normally
	Amazon Relational Database Service (Frankfurt)	Service is operating normally
	Amazon Relational Database Service (Ireland)	Service is operating normally
	Amazon Relational Database Service (London)	Service is operating normally
	Amazon Relational Database Service (Paris)	Service is operating normally
	Amazon Relational Database Service (Stockholm)	Service is operating normally
	Amazon Route 53	Service is operating normally
	Amazon Route 53 Domain Registration	Service is operating normally
	Amazon Route 53 Private DNS (Frankfurt)	Service is operating normally
	Amazon Route 53 Private DNS (Ireland)	Service is operating normally
	Amazon Route 53 Private DNS (London)	Service is operating normally
	Amazon Route 53 Private DNS (Paris)	Service is operating normally
	Amazon Route 53 Private DNS (Stockholm)	Service is operating normally
	Amazon Route 53 Resolver (Ireland)	Service is operating normally
	Amazon SageMaker (Frankfurt)	Service is operating normally
	Amazon SageMaker (Ireland)	Service is operating normally
	Amazon Simple Email Service (Ireland)	Service is operating normally
	Amazon Simple Notification Service (Frankfurt)	Service is operating normally
	Amazon Simple Notification Service (Ireland)	Service is operating normally
	Amazon Simple Notification Service (London)	Service is operating normally
	Amazon Simple Notification Service (Paris)	Service is operating normally
	Amazon Simple Notification Service (Stockholm)	Service is operating normally
	Amazon Simple Queue Service (Frankfurt)	Service is operating normally
	Amazon Simple Queue Service (Ireland)	Service is operating normally
	Amazon Simple Queue Service (London)	Service is operating normally
	Amazon Simple Queue Service (Paris)	Service is operating normally
	Amazon Simple Queue Service (Stockholm)	Service is operating normally
	Amazon Simple Storage Service (Frankfurt)	Service is operating normally
	Amazon Simple Storage Service (Ireland)	Service is operating normally
	Amazon Simple Storage Service (London)	Service is operating normally
	Amazon Simple Storage Service (Paris)	Service is operating normally
	Amazon Simple Storage Service (Stockholm)	Service is operating normally
	Amazon Simple Workflow Service (Frankfurt)	Service is operating normally
	Amazon Simple Workflow Service (Ireland)	Service is operating normally
	Amazon Simple Workflow Service (London)	Service is operating normally
	Amazon Simple Workflow Service (Paris)	Service is operating normally
	Amazon Simple Workflow Service (Stockholm)	Service is operating normally
	Amazon SimpleDB (Ireland)	Service is operating normally
	Amazon Sumerian (Ireland)	Service is operating normally
	Amazon Sumerian (London)	Service is operating normally
	Amazon Transcribe (Ireland)	Service is operating normally
	Amazon Transcribe (London)	Service is operating normally
	Amazon Transcribe (Paris)	Service is operating normally
	Amazon Translate (Ireland)	Service is operating normally
	Amazon Virtual Private Cloud (Frankfurt)	Service is operating normally
	Amazon Virtual Private Cloud (Ireland)	Service is operating normally
	Amazon Virtual Private Cloud (London)	Service is operating normally
	Amazon Virtual Private Cloud (Paris)	Service is operating normally
	Amazon Virtual Private Cloud (Stockholm)	Service is operating normally
	Amazon WorkDocs (Ireland)	Service is operating normally
	Amazon Worklink (Ireland)	Service is operating normally
	Amazon WorkMail (Ireland)	Service is operating normally
	Amazon WorkSpaces (Frankfurt)	Service is operating normally
	Amazon WorkSpaces (Ireland)	Service is operating normally
	Amazon WorkSpaces (London)	Service is operating normally
	Auto Scaling (Frankfurt)	Service is operating normally
	Auto Scaling (Ireland)	Service is operating normally
	Auto Scaling (London)	Service is operating normally
	Auto Scaling (Paris)	Service is operating normally
	Auto Scaling (Stockholm)	Service is operating normally
	AWS AppSync (Frankfurt)	Service is operating normally
	AWS AppSync (Ireland)	Service is operating normally
	AWS AppSync (London)	Service is operating normally
	AWS Backup (Ireland)	Service is operating normally
	AWS Batch (Frankfurt)	Service is operating normally
	AWS Batch (Ireland)	Service is operating normally
	AWS Batch (London)	Service is operating normally
	AWS Batch (Paris)	Service is operating normally
	AWS Batch (Stockholm)	Service is operating normally
	AWS Billing Console	Service is operating normally
	AWS Certificate Manager (Frankfurt)	Service is operating normally
	AWS Certificate Manager (Ireland)	Service is operating normally
	AWS Certificate Manager (London)	Service is operating normally
	AWS Certificate Manager (Paris)	Service is operating normally
	AWS Certificate Manager (Stockholm)	Service is operating normally
	AWS Client VPN (Ireland)	Service is operating normally
	AWS Cloud Map (Frankfurt)	Service is operating normally
	AWS Cloud Map (Ireland)	Service is operating normally
	AWS Cloud Map (London)	Service is operating normally
	AWS Cloud Map (Paris)	Service is operating normally
	AWS Cloud9 (Ireland)	Service is operating normally
	AWS CloudFormation (Frankfurt)	Service is operating normally
	AWS CloudFormation (Ireland)	Service is operating normally
	AWS CloudFormation (London)	Service is operating normally
	AWS CloudFormation (Paris)	Service is operating normally
	AWS CloudFormation (Stockholm)	Service is operating normally
	AWS CloudHSM (Frankfurt)	Service is operating normally
	AWS CloudHSM (Ireland)	Service is operating normally
	AWS CloudTrail (Frankfurt)	Service is operating normally
	AWS CloudTrail (Ireland)	Service is operating normally
	AWS CloudTrail (London)	Service is operating normally
	AWS CloudTrail (Paris)	Service is operating normally
	AWS CloudTrail (Stockholm)	Service is operating normally
	AWS CodeBuild (Frankfurt)	Service is operating normally
	AWS CodeBuild (Ireland)	Service is operating normally
	AWS CodeBuild (London)	Service is operating normally
	AWS CodeBuild (Paris)	Service is operating normally
	AWS CodeCommit (Frankfurt)	Service is operating normally
	AWS CodeCommit (Ireland)	Service is operating normally
	AWS CodeCommit (London)	Service is operating normally
	AWS CodeDeploy (Frankfurt)	Service is operating normally
	AWS CodeDeploy (Ireland)	Service is operating normally
	AWS CodeDeploy (London)	Service is operating normally
	AWS CodeDeploy (Paris)	Service is operating normally
	AWS CodeDeploy (Stockholm)	Service is operating normally
	AWS CodePipeline (Frankfurt)	Service is operating normally
	AWS CodePipeline (Ireland)	Service is operating normally
	AWS CodePipeline (London)	Service is operating normally
	AWS CodeStar (Frankfurt)	Service is operating normally
	AWS CodeStar (Ireland)	Service is operating normally
	AWS CodeStar (London)	Service is operating normally
	AWS Config (Frankfurt)	Service is operating normally
	AWS Config (Ireland)	Service is operating normally
	AWS Config (London)	Service is operating normally
	AWS Config (Paris)	Service is operating normally
	AWS Config (Stockholm)	Service is operating normally
	AWS Control Tower (Ireland)	Service is operating normally
	AWS Data Pipeline (Ireland)	Service is operating normally
	AWS Database Migration Service (Frankfurt)	Service is operating normally
	AWS Database Migration Service (Ireland)	Service is operating normally
	AWS Database Migration Service (London)	Service is operating normally
	AWS Database Migration Service (Paris)	Service is operating normally
	AWS Database Migration Service (Stockholm)	Service is operating normally
	AWS DataSync (Frankfurt)	Service is operating normally
	AWS DataSync (Ireland)	Service is operating normally
	AWS Direct Connect (Frankfurt)	Service is operating normally
	AWS Direct Connect (Ireland)	Service is operating normally
	AWS Direct Connect (London)	Service is operating normally
	AWS Direct Connect (Paris)	Service is operating normally
	AWS Direct Connect (Stockholm)	Service is operating normally
	AWS Directory Service (Frankfurt)	Service is operating normally
	AWS Directory Service (Ireland)	Service is operating normally
	AWS Directory Service (London)	Service is operating normally
	AWS Elastic Beanstalk (Frankfurt)	Service is operating normally
	AWS Elastic Beanstalk (Ireland)	Service is operating normally
	AWS Elastic Beanstalk (London)	Service is operating normally
	AWS Elastic Beanstalk (Paris)	Service is operating normally
	AWS Elastic Beanstalk (Stockholm)	Service is operating normally
	AWS Elemental MediaConnect (Frankfurt)	Service is operating normally
	AWS Elemental MediaConnect (Ireland)	Service is operating normally
	AWS Elemental MediaConvert (Frankfurt)	Service is operating normally
	AWS Elemental MediaConvert (Ireland)	Service is operating normally
	AWS Elemental MediaConvert (London)	Service is operating normally
	AWS Elemental MediaLive (Frankfurt)	Service is operating normally
	AWS Elemental MediaLive (Ireland)	Service is operating normally
	AWS Elemental MediaPackage (Ireland)	Service is operating normally
	AWS Elemental MediaStore (Frankfurt)	Service is operating normally
	AWS Elemental MediaStore (Ireland)	Service is operating normally
	AWS Elemental MediaTailor (Ireland)	Service is operating normally
	AWS Firewall Manager (Frankfurt)	Service is operating normally
	AWS Firewall Manager (Ireland)	Service is operating normally
	AWS Global Accelerator	Service is operating normally
	AWS Glue (Frankfurt)	Service is operating normally
	AWS Glue (Ireland)	Service is operating normally
	AWS Glue (London)	Service is operating normally
	AWS Glue (Paris)	Service is operating normally
	AWS Greengrass (Frankfurt)	Service is operating normally
	AWS Greengrass (Ireland)	Service is operating normally
	AWS Identity and Access Management	Service is operating normally
	AWS Import/Export	Service is operating normally
	AWS Internet Connectivity (Frankfurt)	Service is operating normally
	AWS Internet Connectivity (Ireland)	Service is operating normally
	AWS Internet Connectivity (London)	Service is operating normally
	AWS Internet Connectivity (Paris)	Service is operating normally
	AWS IoT (Frankfurt)	Service is operating normally
	AWS IoT (Ireland)	Service is operating normally
	AWS IoT (London)	Service is operating normally
	AWS IoT 1-Click (Frankfurt)	Service is operating normally
	AWS IoT 1-Click (Ireland)	Service is operating normally
	AWS IoT 1-Click (London)	Service is operating normally
	AWS IoT Analytics (Frankfurt)	Service is operating normally
	AWS IoT Analytics (Ireland)	Service is operating normally
	AWS IoT Device Defender (Frankfurt)	Service is operating normally
	AWS IoT Device Defender (Ireland)	Service is operating normally
	AWS IoT Device Defender (London)	Service is operating normally
	AWS IoT Device Management	Service is operating normally
	AWS Key Management Service (Frankfurt)	Service is operating normally
	AWS Key Management Service (Ireland)	Service is operating normally
	AWS Key Management Service (London)	Service is operating normally
	AWS Key Management Service (Paris)	Service is operating normally
	AWS Key Management Service (Stockholm)	Service is operating normally
	AWS Lambda (Frankfurt)	Service is operating normally
	AWS Lambda (Ireland)	Service is operating normally
	AWS Lambda (London)	Service is operating normally
	AWS Lambda (Paris)	Service is operating normally
	AWS Lambda (Stockholm)	Service is operating normally
	AWS License Manager (Frankfurt)	Service is operating normally
	AWS License Manager (Ireland)	Service is operating normally
	AWS License Manager (London)	Service is operating normally
	AWS Management Console	Service is operating normally
	AWS Marketplace	Service is operating normally
	AWS NAT Gateway (Frankfurt)	Service is operating normally
	AWS NAT Gateway (Ireland)	Service is operating normally
	AWS NAT Gateway (London)	Service is operating normally
	AWS NAT Gateway (Paris)	Service is operating normally
	AWS OpsWorks for Chef Automate (Frankfurt)	Service is operating normally
	AWS OpsWorks for Chef Automate (Ireland)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Frankfurt)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Ireland)	Service is operating normally
	AWS OpsWorks Stacks (Frankfurt)	Service is operating normally
	AWS OpsWorks Stacks (Ireland)	Service is operating normally
	AWS OpsWorks Stacks (London)	Service is operating normally
	AWS OpsWorks Stacks (Paris)	Service is operating normally
	AWS Organizations	Service is operating normally
	AWS QuickSight (Ireland)	Service is operating normally
	AWS Resource Access Manager (Frankfurt)	Service is operating normally
	AWS Resource Access Manager (Ireland)	Service is operating normally
	AWS Resource Access Manager (London)	Service is operating normally
	AWS Resource Access Manager (Paris)	Service is operating normally
	AWS Resource Groups	Service is operating normally
	AWS Resource Groups Tagging API (Frankfurt)	Service is operating normally
	AWS Resource Groups Tagging API (Ireland)	Service is operating normally
	AWS Resource Groups Tagging API (London)	Service is operating normally
	AWS Resource Groups Tagging API (Paris)	Service is operating normally
	AWS Resource Groups Tagging API (Stockholm)	Service is operating normally
	AWS RoboMaker (Ireland)	Service is operating normally
	AWS Secrets Manager (Frankfurt)	Service is operating normally
	AWS Secrets Manager (Ireland)	Service is operating normally
	AWS Secrets Manager (London)	Service is operating normally
	AWS Security Hub (Frankfurt)	Service is operating normally
	AWS Security Hub (Ireland)	Service is operating normally
	AWS Security Hub (London)	Service is operating normally
	AWS Security Hub (Paris)	Service is operating normally
	AWS Serverless Application Repository (Frankfurt)	Service is operating normally
	AWS Serverless Application Repository (Ireland)	Service is operating normally
	AWS Serverless Application Repository (London)	Service is operating normally
	AWS Service Catalog (Frankfurt)	Service is operating normally
	AWS Service Catalog (Ireland)	Service is operating normally
	AWS Service Catalog (London)	Service is operating normally
	AWS Service Catalog (Paris)	Service is operating normally
	AWS Step Functions (Frankfurt)	Service is operating normally
	AWS Step Functions (Ireland)	Service is operating normally
	AWS Step Functions (London)	Service is operating normally
	AWS Step Functions (Paris)	Service is operating normally
	AWS Step Functions (Stockholm)	Service is operating normally
	AWS Storage Gateway (Frankfurt)	Service is operating normally
	AWS Storage Gateway (Ireland)	Service is operating normally
	AWS Storage Gateway (London)	Service is operating normally
	AWS Storage Gateway (Paris)	Service is operating normally
	AWS Storage Gateway (Stockholm)	Service is operating normally
	AWS Systems Manager (Frankfurt)	Service is operating normally
	AWS Systems Manager (Ireland)	Service is operating normally
	AWS Systems Manager (London)	Service is operating normally
	AWS Systems Manager (Stockholm)	Service is operating normally
	AWS Transfer for SFTP (Frankfurt)	Service is operating normally
	AWS Transfer for SFTP (Ireland)	Service is operating normally
	AWS Transfer for SFTP (London)	Service is operating normally
	AWS Transfer for SFTP (Paris)	Service is operating normally
	AWS Transit Gateway (Frankfurt)	Service is operating normally
	AWS Transit Gateway (Ireland)	Service is operating normally
	AWS Transit Gateway (London)	Service is operating normally
	AWS Transit Gateway (Paris)	Service is operating normally
	AWS VPCE PrivateLink (Frankfurt)	Service is operating normally
	AWS VPCE PrivateLink (Ireland)	Service is operating normally
	AWS VPCE PrivateLink (Paris)	Service is operating normally
	AWS WAF	Service is operating normally
	AWS X-Ray (Frankfurt)	Service is operating normally
	AWS X-Ray (Ireland)	Service is operating normally
	AWS X-Ray (London)	Service is operating normally
	AWS X-Ray (Stockholm)	Service is operating normally

Recent Events		Details	RSS
	No recent events.

Remaining Services		Details	RSS
	Amazon API Gateway (Mumbai)	Service is operating normally
	Amazon API Gateway (Seoul)	Service is operating normally
	Amazon API Gateway (Singapore)	Service is operating normally
	Amazon API Gateway (Sydney)	Service is operating normally
	Amazon API Gateway (Tokyo)	Service is operating normally
	Amazon AppStream 2.0 (Seoul)	Service is operating normally
	Amazon AppStream 2.0 (Singapore)	Service is operating normally
	Amazon AppStream 2.0 (Sydney)	Service is operating normally
	Amazon AppStream 2.0 (Tokyo)	Service is operating normally
	Amazon Athena (Mumbai)	Service is operating normally
	Amazon Athena (Seoul)	Service is operating normally
	Amazon Athena (Singapore)	Service is operating normally
	Amazon Athena (Sydney)	Service is operating normally
	Amazon Athena (Tokyo)	Service is operating normally
	Amazon Chime	Service is operating normally
	Amazon Cloud Directory (Singapore)	Service is operating normally
	Amazon Cloud Directory (Sydney)	Service is operating normally
	Amazon CloudFront	Service is operating normally
	Amazon CloudSearch (Seoul)	Service is operating normally
	Amazon CloudSearch (Singapore)	Service is operating normally
	Amazon CloudSearch (Sydney)	Service is operating normally
	Amazon CloudSearch (Tokyo)	Service is operating normally
	Amazon CloudWatch (Mumbai)	Service is operating normally
	Amazon CloudWatch (Osaka-Local)	Service is operating normally
	Amazon CloudWatch (Seoul)	Service is operating normally
	Amazon CloudWatch (Singapore)	Service is operating normally
	Amazon CloudWatch (Sydney)	Service is operating normally
	Amazon CloudWatch (Tokyo)	Service is operating normally
	Amazon Cognito (Mumbai)	Service is operating normally
	Amazon Cognito (Seoul)	Service is operating normally
	Amazon Cognito (Singapore)	Service is operating normally
	Amazon Cognito (Sydney)	Service is operating normally
	Amazon Cognito (Tokyo)	Service is operating normally
	Amazon Comprehend (Singapore)	Service is operating normally
	Amazon Comprehend (Sydney)	Service is operating normally
	Amazon Connect (Sydney)	Service is operating normally
	Amazon Connect (Tokyo)	Service is operating normally
	Amazon Data Lifecycle Manager (Mumbai)	Service is operating normally
	Amazon Data Lifecycle Manager (Seoul)	Service is operating normally
	Amazon Data Lifecycle Manager (Singapore)	Service is operating normally
	Amazon Data Lifecycle Manager (Sydney)	Service is operating normally
	Amazon Data Lifecycle Manager (Tokyo)	Service is operating normally
	Amazon DynamoDB (Mumbai)	Service is operating normally
	Amazon DynamoDB (Osaka-Local)	Service is operating normally
	Amazon DynamoDB (Seoul)	Service is operating normally
	Amazon DynamoDB (Singapore)	Service is operating normally
	Amazon DynamoDB (Sydney)	Service is operating normally
	Amazon DynamoDB (Tokyo)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (Singapore)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (Sydney)	Service is operating normally
	Amazon DynamoDB Accelerator (DAX) (Tokyo)	Service is operating normally
	Amazon Elastic Compute Cloud (Mumbai)	Service is operating normally
	Amazon Elastic Compute Cloud (Osaka-Local)	Service is operating normally
	Amazon Elastic Compute Cloud (Seoul)	Service is operating normally
	Amazon Elastic Compute Cloud (Singapore)	Service is operating normally
	Amazon Elastic Compute Cloud (Sydney)	Service is operating normally
	Amazon Elastic Compute Cloud (Tokyo)	Service is operating normally
	Amazon Elastic Container Registry (Mumbai)	Service is operating normally
	Amazon Elastic Container Registry (Seoul)	Service is operating normally
	Amazon Elastic Container Registry (Singapore)	Service is operating normally
	Amazon Elastic Container Registry (Sydney)	Service is operating normally
	Amazon Elastic Container Registry (Tokyo)	Service is operating normally
	Amazon Elastic Container Service (Mumbai)	Service is operating normally
	Amazon Elastic Container Service (Seoul)	Service is operating normally
	Amazon Elastic Container Service (Singapore)	Service is operating normally
	Amazon Elastic Container Service (Sydney)	Service is operating normally
	Amazon Elastic Container Service (Tokyo)	Service is operating normally
	Amazon Elastic Container Service for Kubernetes (Mumbai)	Service is operating normally
	Amazon Elastic File System (Seoul)	Service is operating normally
	Amazon Elastic File System (Singapore)	Service is operating normally
	Amazon Elastic File System (Sydney)	Service is operating normally
	Amazon Elastic File System (Tokyo)	Service is operating normally
	Amazon Elastic Load Balancing (Mumbai)	Service is operating normally
	Amazon Elastic Load Balancing (Osaka-Local)	Service is operating normally
	Amazon Elastic Load Balancing (Seoul)	Service is operating normally
	Amazon Elastic Load Balancing (Singapore)	Service is operating normally
	Amazon Elastic Load Balancing (Sydney)	Service is operating normally
	Amazon Elastic Load Balancing (Tokyo)	Service is operating normally
	Amazon Elastic MapReduce (Mumbai)	Service is operating normally
	Amazon Elastic MapReduce (Osaka-Local)	Service is operating normally
	Amazon Elastic MapReduce (Seoul)	Service is operating normally
	Amazon Elastic MapReduce (Singapore)	Service is operating normally
	Amazon Elastic MapReduce (Sydney)	Service is operating normally
	Amazon Elastic MapReduce (Tokyo)	Service is operating normally
	Amazon Elastic Transcoder (Mumbai)	Service is operating normally
	Amazon Elastic Transcoder (Singapore)	Service is operating normally
	Amazon Elastic Transcoder (Sydney)	Service is operating normally
	Amazon Elastic Transcoder (Tokyo)	Service is operating normally
	Amazon ElastiCache (Mumbai)	Service is operating normally
	Amazon ElastiCache (Osaka-Local)	Service is operating normally
	Amazon ElastiCache (Seoul)	Service is operating normally
	Amazon ElastiCache (Singapore)	Service is operating normally
	Amazon ElastiCache (Sydney)	Service is operating normally
	Amazon ElastiCache (Tokyo)	Service is operating normally
	Amazon Elasticsearch Service (Mumbai)	Service is operating normally
	Amazon Elasticsearch Service (Seoul)	Service is operating normally
	Amazon Elasticsearch Service (Singapore)	Service is operating normally
	Amazon Elasticsearch Service (Sydney)	Service is operating normally
	Amazon Elasticsearch Service (Tokyo)	Service is operating normally
	Amazon FreeRTOS (Sydney)	Service is operating normally
	Amazon FreeRTOS (Tokyo)	Service is operating normally
	Amazon GameLift (Mumbai)	Service is operating normally
	Amazon GameLift (Seoul)	Service is operating normally
	Amazon GameLift (Singapore)	Service is operating normally
	Amazon GameLift (Sydney)	Service is operating normally
	Amazon GameLift (Tokyo)	Service is operating normally
	Amazon Glacier (Mumbai)	Service is operating normally
	Amazon Glacier (Osaka-Local)	Service is operating normally
	Amazon Glacier (Seoul)	Service is operating normally
	Amazon Glacier (Singapore)	Service is operating normally
	Amazon Glacier (Sydney)	Service is operating normally
	Amazon Glacier (Tokyo)	Service is operating normally
	Amazon GuardDuty (Mumbai)	Service is operating normally
	Amazon GuardDuty (Seoul)	Service is operating normally
	Amazon GuardDuty (Singapore)	Service is operating normally
	Amazon GuardDuty (Sydney)	Service is operating normally
	Amazon GuardDuty (Tokyo)	Service is operating normally
	Amazon Inspector (Mumbai)	Service is operating normally
	Amazon Inspector (Seoul)	Service is operating normally
	Amazon Inspector (Sydney)	Service is operating normally
	Amazon Inspector (Tokyo)	Service is operating normally
	Amazon Inter-Region VPC Peering	Service is operating normally
	Amazon Kinesis Data Streams (Mumbai)	Service is operating normally
	Amazon Kinesis Data Streams (Osaka-Local)	Service is operating normally
	Amazon Kinesis Data Streams (Seoul)	Service is operating normally
	Amazon Kinesis Data Streams (Singapore)	Service is operating normally
	Amazon Kinesis Data Streams (Sydney)	Service is operating normally
	Amazon Kinesis Data Streams (Tokyo)	Service is operating normally
	Amazon Kinesis Firehose (Mumbai)	Service is operating normally
	Amazon Kinesis Firehose (Seoul)	Service is operating normally
	Amazon Kinesis Firehose (Singapore)	Service is operating normally
	Amazon Kinesis Firehose (Sydney)	Service is operating normally
	Amazon Kinesis Firehose (Tokyo)	Service is operating normally
	Amazon Kinesis Video Streams (Tokyo)	Service is operating normally
	Amazon Lightsail (Mumbai)	Service is operating normally
	Amazon Lightsail (Seoul)	Service is operating normally
	Amazon Lightsail (Singapore)	Service is operating normally
	Amazon Lightsail (Sydney)	Service is operating normally
	Amazon Lightsail (Tokyo)	Service is operating normally
	Amazon MQ (Seoul)	Service is operating normally
	Amazon MQ (Singapore)	Service is operating normally
	Amazon MQ (Sydney)	Service is operating normally
	Amazon MQ (Tokyo)	Service is operating normally
	Amazon Polly (Mumbai)	Service is operating normally
	Amazon Polly (Seoul)	Service is operating normally
	Amazon Polly (Singapore)	Service is operating normally
	Amazon Polly (Sydney)	Service is operating normally
	Amazon Polly (Tokyo)	Service is operating normally
	Amazon Redshift (Mumbai)	Service is operating normally
	Amazon Redshift (Osaka-Local)	Service is operating normally
	Amazon Redshift (Seoul)	Service is operating normally
	Amazon Redshift (Singapore)	Service is operating normally
	Amazon Redshift (Sydney)	Service is operating normally
	Amazon Redshift (Tokyo)	Service is operating normally
	Amazon Rekognition (Sydney)	Service is operating normally
	Amazon Rekognition (Tokyo)	Service is operating normally
	Amazon Relational Database Service (Mumbai)	Service is operating normally
	Amazon Relational Database Service (Osaka-Local)	Service is operating normally
	Amazon Relational Database Service (Seoul)	Service is operating normally
	Amazon Relational Database Service (Singapore)	Service is operating normally
	Amazon Relational Database Service (Sydney)	Service is operating normally
	Amazon Relational Database Service (Tokyo)	Service is operating normally
	Amazon Route 53	Service is operating normally
	Amazon Route 53 Domain Registration	Service is operating normally
	Amazon Route 53 Private DNS (Mumbai)	Service is operating normally
	Amazon Route 53 Private DNS (Osaka-Local)	Service is operating normally
	Amazon Route 53 Private DNS (Seoul)	Service is operating normally
	Amazon Route 53 Private DNS (Singapore)	Service is operating normally
	Amazon Route 53 Private DNS (Sydney)	Service is operating normally
	Amazon Route 53 Private DNS (Tokyo)	Service is operating normally
	Amazon Route 53 Resolver (Singapore)	Service is operating normally
	Amazon Route 53 Resolver (Sydney)	Service is operating normally
	Amazon Route 53 Resolver (Tokyo)	Service is operating normally
	Amazon SageMaker (Seoul)	Service is operating normally
	Amazon SageMaker (Sydney)	Service is operating normally
	Amazon SageMaker (Tokyo)	Service is operating normally
	Amazon Simple Notification Service (Mumbai)	Service is operating normally
	Amazon Simple Notification Service (Osaka-Local)	Service is operating normally
	Amazon Simple Notification Service (Seoul)	Service is operating normally
	Amazon Simple Notification Service (Singapore)	Service is operating normally
	Amazon Simple Notification Service (Sydney)	Service is operating normally
	Amazon Simple Notification Service (Tokyo)	Service is operating normally
	Amazon Simple Queue Service (Mumbai)	Service is operating normally
	Amazon Simple Queue Service (Osaka-Local)	Service is operating normally
	Amazon Simple Queue Service (Seoul)	Service is operating normally
	Amazon Simple Queue Service (Singapore)	Service is operating normally
	Amazon Simple Queue Service (Sydney)	Service is operating normally
	Amazon Simple Queue Service (Tokyo)	Service is operating normally
	Amazon Simple Storage Service (Mumbai)	Service is operating normally
	Amazon Simple Storage Service (Osaka-Local)	Service is operating normally
	Amazon Simple Storage Service (Seoul)	Service is operating normally
	Amazon Simple Storage Service (Singapore)	Service is operating normally
	Amazon Simple Storage Service (Sydney)	Service is operating normally
	Amazon Simple Storage Service (Tokyo)	Service is operating normally
	Amazon Simple Workflow Service (Mumbai)	Service is operating normally
	Amazon Simple Workflow Service (Osaka-Local)	Service is operating normally
	Amazon Simple Workflow Service (Seoul)	Service is operating normally
	Amazon Simple Workflow Service (Singapore)	Service is operating normally
	Amazon Simple Workflow Service (Sydney)	Service is operating normally
	Amazon Simple Workflow Service (Tokyo)	Service is operating normally
	Amazon SimpleDB (Singapore)	Service is operating normally
	Amazon SimpleDB (Sydney)	Service is operating normally
	Amazon SimpleDB (Tokyo)	Service is operating normally
	Amazon Sumerian (Sydney)	Service is operating normally
	Amazon Transcribe (Mumbai)	Service is operating normally
	Amazon Transcribe (Singapore)	Service is operating normally
	Amazon Transcribe (Sydney)	Service is operating normally
	Amazon Virtual Private Cloud (Mumbai)	Service is operating normally
	Amazon Virtual Private Cloud (Osaka-Local)	Service is operating normally
	Amazon Virtual Private Cloud (Seoul)	Service is operating normally
	Amazon Virtual Private Cloud (Singapore)	Service is operating normally
	Amazon Virtual Private Cloud (Sydney)	Service is operating normally
	Amazon Virtual Private Cloud (Tokyo)	Service is operating normally
	Amazon WorkDocs (Singapore)	Service is operating normally
	Amazon WorkDocs (Sydney)	Service is operating normally
	Amazon WorkDocs (Tokyo)	Service is operating normally
	Amazon WorkSpaces (Seoul)	Service is operating normally
	Amazon WorkSpaces (Singapore)	Service is operating normally
	Amazon WorkSpaces (Sydney)	Service is operating normally
	Amazon WorkSpaces (Tokyo)	Service is operating normally
	Auto Scaling (Mumbai)	Service is operating normally
	Auto Scaling (Osaka-Local)	Service is operating normally
	Auto Scaling (Seoul)	Service is operating normally
	Auto Scaling (Singapore)	Service is operating normally
	Auto Scaling (Sydney)	Service is operating normally
	Auto Scaling (Tokyo)	Service is operating normally
	AWS AppSync (Mumbai)	Service is operating normally
	AWS AppSync (Seoul)	Service is operating normally
	AWS AppSync (Singapore)	Service is operating normally
	AWS AppSync (Sydney)	Service is operating normally
	AWS AppSync (Tokyo)	Service is operating normally
	AWS Batch (Mumbai)	Service is operating normally
	AWS Batch (Seoul)	Service is operating normally
	AWS Batch (Singapore)	Service is operating normally
	AWS Batch (Sydney)	Service is operating normally
	AWS Batch (Tokyo)	Service is operating normally
	AWS Billing Console	Service is operating normally
	AWS Certificate Manager (Mumbai)	Service is operating normally
	AWS Certificate Manager (Osaka-Local)	Service is operating normally
	AWS Certificate Manager (Seoul)	Service is operating normally
	AWS Certificate Manager (Singapore)	Service is operating normally
	AWS Certificate Manager (Sydney)	Service is operating normally
	AWS Certificate Manager (Tokyo)	Service is operating normally
	AWS Cloud Map (Mumbai)	Service is operating normally
	AWS Cloud Map (Seoul)	Service is operating normally
	AWS Cloud Map (Singapore)	Service is operating normally
	AWS Cloud Map (Sydney)	Service is operating normally
	AWS Cloud Map (Tokyo)	Service is operating normally
	AWS Cloud9 (Singapore)	Service is operating normally
	AWS CloudFormation (Mumbai)	Service is operating normally
	AWS CloudFormation (Osaka-Local)	Service is operating normally
	AWS CloudFormation (Seoul)	Service is operating normally
	AWS CloudFormation (Singapore)	Service is operating normally
	AWS CloudFormation (Sydney)	Service is operating normally
	AWS CloudFormation (Tokyo)	Service is operating normally
	AWS CloudHSM (Singapore)	Service is operating normally
	AWS CloudHSM (Sydney)	Service is operating normally
	AWS CloudHSM (Tokyo)	Service is operating normally
	AWS CloudTrail (Mumbai)	Service is operating normally
	AWS CloudTrail (Osaka-Local)	Service is operating normally
	AWS CloudTrail (Seoul)	Service is operating normally
	AWS CloudTrail (Singapore)	Service is operating normally
	AWS CloudTrail (Sydney)	Service is operating normally
	AWS CloudTrail (Tokyo)	Service is operating normally
	AWS CodeBuild (Mumbai)	Service is operating normally
	AWS CodeBuild (Seoul)	Service is operating normally
	AWS CodeBuild (Singapore)	Service is operating normally
	AWS CodeBuild (Sydney)	Service is operating normally
	AWS CodeBuild (Tokyo)	Service is operating normally
	AWS CodeCommit (Mumbai)	Service is operating normally
	AWS CodeCommit (Seoul)	Service is operating normally
	AWS CodeCommit (Singapore)	Service is operating normally
	AWS CodeCommit (Sydney)	Service is operating normally
	AWS CodeCommit (Tokyo)	Service is operating normally
	AWS CodeDeploy (Mumbai)	Service is operating normally
	AWS CodeDeploy (Osaka-Local)	Service is operating normally
	AWS CodeDeploy (Seoul)	Service is operating normally
	AWS CodeDeploy (Singapore)	Service is operating normally
	AWS CodeDeploy (Sydney)	Service is operating normally
	AWS CodeDeploy (Tokyo)	Service is operating normally
	AWS CodePipeline (Mumbai)	Service is operating normally
	AWS CodePipeline (Seoul)	Service is operating normally
	AWS CodePipeline (Singapore)	Service is operating normally
	AWS CodePipeline (Sydney)	Service is operating normally
	AWS CodePipeline (Tokyo)	Service is operating normally
	AWS CodeStar (Seoul)	Service is operating normally
	AWS CodeStar (Singapore)	Service is operating normally
	AWS CodeStar (Sydney)	Service is operating normally
	AWS CodeStar (Tokyo)	Service is operating normally
	AWS Config (Mumbai)	Service is operating normally
	AWS Config (Seoul)	Service is operating normally
	AWS Config (Singapore)	Service is operating normally
	AWS Config (Sydney)	Service is operating normally
	AWS Config (Tokyo)	Service is operating normally
	AWS Data Pipeline (Sydney)	Service is operating normally
	AWS Data Pipeline (Tokyo)	Service is operating normally
	AWS Database Migration Service (Mumbai)	Service is operating normally
	AWS Database Migration Service (Seoul)	Service is operating normally
	AWS Database Migration Service (Singapore)	Service is operating normally
	AWS Database Migration Service (Sydney)	Service is operating normally
	AWS Database Migration Service (Tokyo)	Service is operating normally
	AWS DataSync (Seoul)	Service is operating normally
	AWS DataSync (Singapore)	Service is operating normally
	AWS DataSync (Sydney)	Service is operating normally
	AWS DataSync (Tokyo)	Service is operating normally
	AWS Direct Connect (Mumbai)	Service is operating normally
	AWS Direct Connect (Seoul)	Service is operating normally
	AWS Direct Connect (Singapore)	Service is operating normally
	AWS Direct Connect (Sydney)	Service is operating normally
	AWS Direct Connect (Tokyo)	Service is operating normally
	AWS Directory Service (Mumbai)	Service is operating normally
	AWS Directory Service (Seoul)	Service is operating normally
	AWS Directory Service (Singapore)	Service is operating normally
	AWS Directory Service (Sydney)	Service is operating normally
	AWS Directory Service (Tokyo)	Service is operating normally
	AWS Elastic Beanstalk (Mumbai)	Service is operating normally
	AWS Elastic Beanstalk (Osaka-Local)	Service is operating normally
	AWS Elastic Beanstalk (Seoul)	Service is operating normally
	AWS Elastic Beanstalk (Singapore)	Service is operating normally
	AWS Elastic Beanstalk (Sydney)	Service is operating normally
	AWS Elastic Beanstalk (Tokyo)	Service is operating normally
	AWS Elemental MediaConnect (Singapore)	Service is operating normally
	AWS Elemental MediaConnect (Sydney)	Service is operating normally
	AWS Elemental MediaConnect (Tokyo)	Service is operating normally
	AWS Elemental MediaConvert (Mumbai)	Service is operating normally
	AWS Elemental MediaConvert (Seoul)	Service is operating normally
	AWS Elemental MediaConvert (Singapore)	Service is operating normally
	AWS Elemental MediaConvert (Sydney)	Service is operating normally
	AWS Elemental MediaConvert (Tokyo)	Service is operating normally
	AWS Elemental MediaLive (Mumbai)	Service is operating normally
	AWS Elemental MediaLive (Seoul)	Service is operating normally
	AWS Elemental MediaLive (Singapore)	Service is operating normally
	AWS Elemental MediaLive (Tokyo)	Service is operating normally
	AWS Elemental MediaPackage (Singapore)	Service is operating normally
	AWS Elemental MediaPackage (Sydney)	Service is operating normally
	AWS Elemental MediaPackage (Tokyo)	Service is operating normally
	AWS Elemental MediaStore (Sydney)	Service is operating normally
	AWS Elemental MediaStore (Tokyo)	Service is operating normally
	AWS Elemental MediaTailor (Singapore)	Service is operating normally
	AWS Elemental MediaTailor (Sydney)	Service is operating normally
	AWS Elemental MediaTailor (Tokyo)	Service is operating normally
	AWS Firewall Manager (Sydney)	Service is operating normally
	AWS Firewall Manager (Tokyo)	Service is operating normally
	AWS Global Accelerator	Service is operating normally
	AWS Glue (Mumbai)	Service is operating normally
	AWS Glue (Seoul)	Service is operating normally
	AWS Glue (Singapore)	Service is operating normally
	AWS Glue (Sydney)	Service is operating normally
	AWS Glue (Tokyo)	Service is operating normally
	AWS Greengrass (Sydney)	Service is operating normally
	AWS Greengrass (Tokyo)	Service is operating normally
	AWS Identity and Access Management	Service is operating normally
	AWS Import/Export	Service is operating normally
	AWS Internet Connectivity (Mumbai)	Service is operating normally
	AWS Internet Connectivity (Seoul)	Service is operating normally
	AWS Internet Connectivity (Singapore)	Service is operating normally
	AWS Internet Connectivity (Sydney)	Service is operating normally
	AWS Internet Connectivity (Tokyo)	Service is operating normally
	AWS IoT (Seoul)	Service is operating normally
	AWS IoT (Singapore)	Service is operating normally
	AWS IoT (Sydney)	Service is operating normally
	AWS IoT (Tokyo)	Service is operating normally
	AWS IoT 1-Click (Tokyo)	Service is operating normally
	AWS IoT Analytics (Tokyo)	Service is operating normally
	AWS IoT Device Defender (Seoul)	Service is operating normally
	AWS IoT Device Defender (Singapore)	Service is operating normally
	AWS IoT Device Defender (Sydney)	Service is operating normally
	AWS IoT Device Defender (Tokyo)	Service is operating normally
	AWS IoT Device Management	Service is operating normally
	AWS Key Management Service (Mumbai)	Service is operating normally
	AWS Key Management Service (Osaka-Local)	Service is operating normally
	AWS Key Management Service (Seoul)	Service is operating normally
	AWS Key Management Service (Singapore)	Service is operating normally
	AWS Key Management Service (Sydney)	Service is operating normally
	AWS Key Management Service (Tokyo)	Service is operating normally
	AWS Lambda (Mumbai)	Service is operating normally
	AWS Lambda (Seoul)	Service is operating normally
	AWS Lambda (Singapore)	Service is operating normally
	AWS Lambda (Sydney)	Service is operating normally
	AWS Lambda (Tokyo)	Service is operating normally
	AWS License Manager (Mumbai)	Service is operating normally
	AWS License Manager (Seoul)	Service is operating normally
	AWS License Manager (Singapore)	Service is operating normally
	AWS License Manager (Sydney)	Service is operating normally
	AWS License Manager (Tokyo)	Service is operating normally
	AWS Management Console	Service is operating normally
	AWS Marketplace	Service is operating normally
	AWS NAT Gateway (Mumbai)	Service is operating normally
	AWS NAT Gateway (Seoul)	Service is operating normally
	AWS NAT Gateway (Singapore)	Service is operating normally
	AWS NAT Gateway (Sydney)	Service is operating normally
	AWS NAT Gateway (Tokyo)	Service is operating normally
	AWS OpsWorks for Chef Automate (Singapore)	Service is operating normally
	AWS OpsWorks for Chef Automate (Sydney)	Service is operating normally
	AWS OpsWorks for Chef Automate (Tokyo)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Singapore)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Sydney)	Service is operating normally
	AWS OpsWorks for Puppet Enterprise (Tokyo)	Service is operating normally
	AWS OpsWorks Stacks (Mumbai)	Service is operating normally
	AWS OpsWorks Stacks (Seoul)	Service is operating normally
	AWS OpsWorks Stacks (Singapore)	Service is operating normally
	AWS OpsWorks Stacks (Sydney)	Service is operating normally
	AWS OpsWorks Stacks (Tokyo)	Service is operating normally
	AWS Organizations	Service is operating normally
	AWS QuickSight (Singapore)	Service is operating normally
	AWS QuickSight (Sydney)	Service is operating normally
	AWS QuickSight (Tokyo)	Service is operating normally
	AWS Resource Access Manager (Mumbai)	Service is operating normally
	AWS Resource Access Manager (Seoul)	Service is operating normally
	AWS Resource Access Manager (Singapore)	Service is operating normally
	AWS Resource Access Manager (Sydney)	Service is operating normally
	AWS Resource Access Manager (Tokyo)	Service is operating normally
	AWS Resource Groups	Service is operating normally
	AWS Resource Groups Tagging API (Mumbai)	Service is operating normally
	AWS Resource Groups Tagging API (Osaka-Local)	Service is operating normally
	AWS Resource Groups Tagging API (Seoul)	Service is operating normally
	AWS Resource Groups Tagging API (Singapore)	Service is operating normally
	AWS Resource Groups Tagging API (Sydney)	Service is operating normally
	AWS Resource Groups Tagging API (Tokyo)	Service is operating normally
	AWS Secrets Manager (Mumbai)	Service is operating normally
	AWS Secrets Manager (Seoul)	Service is operating normally
	AWS Secrets Manager (Singapore)	Service is operating normally
	AWS Secrets Manager (Sydney)	Service is operating normally
	AWS Secrets Manager (Tokyo)	Service is operating normally
	AWS Security Hub (Mumbai)	Service is operating normally
	AWS Security Hub (Seoul)	Service is operating normally
	AWS Security Hub (Singapore)	Service is operating normally
	AWS Security Hub (Sydney)	Service is operating normally
	AWS Security Hub (Tokyo)	Service is operating normally
	AWS Serverless Application Repository (Mumbai)	Service is operating normally
	AWS Serverless Application Repository (Seoul)	Service is operating normally
	AWS Serverless Application Repository (Singapore)	Service is operating normally
	AWS Serverless Application Repository (Sydney)	Service is operating normally
	AWS Serverless Application Repository (Tokyo)	Service is operating normally
	AWS Service Catalog (Singapore)	Service is operating normally
	AWS Service Catalog (Sydney)	Service is operating normally
	AWS Service Catalog (Tokyo)	Service is operating normally
	AWS Step Functions (Seoul)	Service is operating normally
	AWS Step Functions (Singapore)	Service is operating normally
	AWS Step Functions (Sydney)	Service is operating normally
	AWS Step Functions (Tokyo)	Service is operating normally
	AWS Storage Gateway (Mumbai)	Service is operating normally
	AWS Storage Gateway (Seoul)	Service is operating normally
	AWS Storage Gateway (Singapore)	Service is operating normally
	AWS Storage Gateway (Sydney)	Service is operating normally
	AWS Storage Gateway (Tokyo)	Service is operating normally
	AWS Systems Manager (Mumbai)	Service is operating normally
	AWS Systems Manager (Seoul)	Service is operating normally
	AWS Systems Manager (Singapore)	Service is operating normally
	AWS Systems Manager (Sydney)	Service is operating normally
	AWS Systems Manager (Tokyo)	Service is operating normally
	AWS Transfer for SFTP (Seoul)	Service is operating normally
	AWS Transfer for SFTP (Singapore)	Service is operating normally
	AWS Transfer for SFTP (Sydney)	Service is operating normally
	AWS Transfer for SFTP (Tokyo)	Service is operating normally
	AWS Transit Gateway (Mumbai)	Service is operating normally
	AWS Transit Gateway (Seoul)	Service is operating normally
	AWS Transit Gateway (Singapore)	Service is operating normally
	AWS Transit Gateway (Sydney)	Service is operating normally
	AWS Transit Gateway (Tokyo)	Service is operating normally
	AWS VPCE PrivateLink (Mumbai)	Service is operating normally
	AWS VPCE PrivateLink (Osaka-Local)	Service is operating normally
	AWS VPCE PrivateLink (Seoul)	Service is operating normally
	AWS VPCE PrivateLink (Singapore)	Service is operating normally
	AWS VPCE PrivateLink (Sydney)	Service is operating normally
	AWS VPCE PrivateLink (Tokyo)	Service is operating normally
	AWS WAF	Service is operating normally
	AWS X-Ray (Mumbai)	Service is operating normally
	AWS X-Ray (Seoul)	Service is operating normally
	AWS X-Ray (Singapore)	Service is operating normally
	AWS X-Ray (Sydney)	Service is operating normally
	AWS X-Ray (Tokyo)	Service is operating normally

Service is operating normally

Informational message

Service degradation

Service disruption

Status History

Amazon Web Services keeps a running log of all service interruptions that we publish in the table below for the past year. Mouse over any of the status icons below to see a detailed incident report (click on the icon to persist the popup). Click on the arrow buttons at the top of the table to move forward and backwards through the calendar. All dates and times are Pacific Time (PST/PDT).

North America
South America
Europe
Asia Pacific


Alexa for Business (N. Virginia)
Amazon API Gateway (Montreal)
Amazon API Gateway (N. California)
Amazon API Gateway (N. Virginia)
Amazon API Gateway (Ohio)
Amazon API Gateway (Oregon)
Amazon AppStream 2.0 (N. Virginia)
Amazon AppStream 2.0 (Oregon)
Amazon Athena (Montreal)
Amazon Athena (N. Virginia)
Amazon Athena (Ohio)
Amazon Athena (Oregon)
Amazon Chime
Amazon Cloud Directory (Montreal)
Amazon Cloud Directory (N. Virginia)
Amazon Cloud Directory (Ohio)
Amazon Cloud Directory (Oregon)
Amazon CloudFront
Amazon CloudSearch (N. California)
Amazon CloudSearch (N. Virginia)
Amazon CloudSearch (Oregon)
Amazon CloudWatch (Montreal)
Amazon CloudWatch (N. California)
Amazon CloudWatch (N. Virginia)
Amazon CloudWatch (Ohio)
Amazon CloudWatch (Oregon)
Amazon Cognito (Montreal)
Amazon Cognito (N. Virginia)
Amazon Cognito (Ohio)
Amazon Cognito (Oregon)
Amazon Comprehend (Montreal)
Amazon Comprehend (N. Virginia)
Amazon Comprehend (Ohio)
Amazon Comprehend (Oregon)
Amazon Comprehend Medical (N. Virginia)
Amazon Comprehend Medical (Ohio)
Amazon Comprehend Medical (Oregon)
Amazon Connect (N. Virginia)
Amazon Connect (Oregon)
Amazon Data Lifecycle Manager (Montreal)
Amazon Data Lifecycle Manager (N. California)
Amazon Data Lifecycle Manager (N. Virginia)
Amazon Data Lifecycle Manager (Ohio)
Amazon Data Lifecycle Manager (Oregon)
Amazon DocumentDB (N. Virginia)
Amazon DocumentDB (Ohio)
Amazon DocumentDB (Oregon)
Amazon DynamoDB (Montreal)
Amazon DynamoDB (N. California)
Amazon DynamoDB (N. Virginia)
Amazon DynamoDB (Ohio)
Amazon DynamoDB (Oregon)
Amazon DynamoDB Accelerator (DAX) (N. California)
Amazon DynamoDB Accelerator (DAX) (N. Virginia)
Amazon DynamoDB Accelerator (DAX) (Ohio)
Amazon DynamoDB Accelerator (DAX) (Oregon)
EC2 (Montreal)
EC2 (N. California)
EC2 (N. Virginia)
EC2 (Ohio)
EC2 (Oregon)
Amazon ECR (Montreal)
Amazon ECR (N. California)
Amazon ECR (N. Virginia)
Amazon ECR (Ohio)
Amazon ECR (Oregon)
Amazon ECS (Montreal)
Amazon ECS (N. California)
Amazon ECS (N. Virginia)
Amazon ECS (Ohio)
Amazon ECS (Oregon)
Amazon Elastic Container Service for Kubernetes (N. Virginia)
Amazon Elastic Container Service for Kubernetes (Oregon)
Amazon Elastic File System (N. California)
Amazon Elastic File System (N. Virginia)
Amazon Elastic File System (Ohio)
Amazon Elastic File System (Oregon)
ELB (Montreal)
ELB (N. California)
ELB (N. Virginia)
ELB (Ohio)
ELB (Oregon)
EMR (Montreal)
EMR (N. California)
EMR (N. Virginia)
EMR (Ohio)
EMR (Oregon)
Amazon Elastic Transcoder (N. California)
Amazon Elastic Transcoder (N. Virginia)
Amazon Elastic Transcoder (Oregon)
Amazon ElastiCache (Montreal)
Amazon ElastiCache (N. California)
Amazon ElastiCache (N. Virginia)
Amazon ElastiCache (Ohio)
Amazon ElastiCache (Oregon)
Amazon Elasticsearch Service (Montreal)
Amazon Elasticsearch Service (N. California)
Amazon Elasticsearch Service (N. Virginia)
Amazon Elasticsearch Service (Ohio)
Amazon Elasticsearch Service (Oregon)
Amazon Forecast (N. Virginia)
Amazon Forecast (Oregon)
Amazon FreeRTOS (N. Virginia)
Amazon FreeRTOS (Ohio)
Amazon FreeRTOS (Oregon)
Amazon FSx (N. Virginia)
Amazon FSx (Ohio)
Amazon FSx (Oregon)
Amazon GameLift (Montreal)
Amazon GameLift (N. California)
Amazon GameLift (N. Virginia)
Amazon GameLift (Ohio)
Amazon GameLift (Oregon)
Amazon Glacier (Montreal)
Amazon Glacier (N. California)
Amazon Glacier (N. Virginia)
Amazon Glacier (Ohio)
Amazon Glacier (Oregon)
Amazon GuardDuty (Montreal)
Amazon GuardDuty (N. California)
Amazon GuardDuty (N. Virginia)
Amazon GuardDuty (Ohio)
Amazon GuardDuty (Oregon)
Amazon Inspector (N. California)
Amazon Inspector (N. Virginia)
Amazon Inspector (Ohio)
Amazon Inspector (Oregon)
Amazon Inter-Region VPC Peering
Amazon Kinesis Analytics (N. Virginia)
Amazon Kinesis Analytics (Oregon)
Amazon Kinesis Data Streams (Montreal)
Amazon Kinesis Data Streams (N. California)
Amazon Kinesis Data Streams (N. Virginia)
Amazon Kinesis Data Streams (Ohio)
Amazon Kinesis Data Streams (Oregon)
Amazon Kinesis Firehose (Montreal)
Amazon Kinesis Firehose (N. California)
Amazon Kinesis Firehose (N. Virginia)
Amazon Kinesis Firehose (Ohio)
Amazon Kinesis Firehose (Oregon)
Amazon Kinesis Video Streams (N. Virginia)
Amazon Kinesis Video Streams (Oregon)
Amazon Lex (N. Virginia)
Amazon Lex (Oregon)
Amazon Lightsail (Montreal)
Amazon Lightsail (N. Virginia)
Amazon Lightsail (Ohio)
Amazon Lightsail (Oregon)
Amazon Machine Learning (N. Virginia)
Amazon Macie (N. Virginia)
Amazon Macie (Oregon)
Amazon MQ (N. California)
Amazon MQ (N. Virginia)
Amazon MQ (Ohio)
Amazon MQ (Oregon)
Amazon Neptune (N. Virginia)
Amazon Neptune (Ohio)
Amazon Neptune (Oregon)
Amazon Pinpoint (N. Virginia)
Amazon Polly (Montreal)
Amazon Polly (N. California)
Amazon Polly (N. Virginia)
Amazon Polly (Ohio)
Amazon Polly (Oregon)
Amazon Redshift (Montreal)
Amazon Redshift (N. California)
Amazon Redshift (N. Virginia)
Amazon Redshift (Ohio)
Amazon Redshift (Oregon)
Amazon Rekognition (N. Virginia)
Amazon Rekognition (Ohio)
Amazon Rekognition (Oregon)
RDS (Montreal)
RDS (N. California)
RDS (N. Virginia)
RDS (Ohio)
RDS (Oregon)
Amazon Route 53
Amazon Route 53 Domain Registration
Amazon Route 53 Private DNS (Montreal)
Amazon Route 53 Private DNS (N. California)
Amazon Route 53 Private DNS (N. Virginia)
Amazon Route 53 Private DNS (Ohio)
Amazon Route 53 Private DNS (Oregon)
Amazon Route 53 Resolver (N. Virginia)
Amazon Route 53 Resolver (Ohio)
Amazon Route 53 Resolver (Oregon)
Amazon SageMaker (N. Virginia)
Amazon SageMaker (Ohio)
Amazon SageMaker (Oregon)
Amazon Simple Email Service (N. Virginia)
Amazon Simple Email Service (Oregon)
SNS (Montreal)
SNS (N. California)
SNS (N. Virginia)
SNS (Ohio)
SNS (Oregon)
SQS (Montreal)
SQS (N. California)
SQS (N. Virginia)
SQS (Ohio)
SQS (Oregon)
S3 (Montreal)
S3 (N. California)
S3 (N. Virginia)
S3 (Ohio)
S3 (Oregon)
SWF (Montreal)
SWF (N. California)
SWF (N. Virginia)
SWF (Ohio)
SWF (Oregon)
Amazon SimpleDB (N. California)
Amazon SimpleDB (N. Virginia)
Amazon SimpleDB (Oregon)
Amazon Sumerian (N. Virginia)
Amazon Sumerian (Ohio)
Amazon Sumerian (Oregon)
Amazon Transcribe (Montreal)
Amazon Transcribe (N. Virginia)
Amazon Transcribe (Ohio)
Amazon Transcribe (Oregon)
Amazon Translate (N. Virginia)
Amazon Translate (Ohio)
Amazon Translate (Oregon)
VPC (Montreal)
VPC (N. California)
VPC (N. Virginia)
VPC (Ohio)
VPC (Oregon)
Amazon WorkDocs (N. Virginia)
Amazon WorkDocs (Oregon)
Amazon Worklink (N. Virginia)
Amazon Worklink (Ohio)
Amazon Worklink (Oregon)
Amazon WorkMail (N. Virginia)
Amazon WorkMail (Oregon)
Amazon WorkSpaces (Montreal)
Amazon WorkSpaces (N. Virginia)
Amazon WorkSpaces (Oregon)
Auto Scaling (Montreal)
Auto Scaling (N. California)
Auto Scaling (N. Virginia)
Auto Scaling (Ohio)
Auto Scaling (Oregon)
AWS Application Discovery Service (Oregon)
AWS AppSync (N. Virginia)
AWS AppSync (Ohio)
AWS AppSync (Oregon)
AWS Backup (N. Virginia)
AWS Backup (Ohio)
AWS Backup (Oregon)
AWS Batch (Montreal)
AWS Batch (N. California)
AWS Batch (N. Virginia)
AWS Batch (Ohio)
AWS Batch (Oregon)
AWS Billing Console
AWS Certificate Manager (Montreal)
AWS Certificate Manager (N. California)
AWS Certificate Manager (N. Virginia)
AWS Certificate Manager (Ohio)
AWS Certificate Manager (Oregon)
AWS Client VPN (N. Virginia)
AWS Client VPN (Ohio)
AWS Client VPN (Oregon)
AWS Cloud Map (Montreal)
AWS Cloud Map (N. California)
AWS Cloud Map (N. Virginia)
AWS Cloud Map (Ohio)
AWS Cloud Map (Oregon)
AWS Cloud9 (N. Virginia)
AWS Cloud9 (Ohio)
AWS Cloud9 (Oregon)
AWS CloudFormation (Montreal)
AWS CloudFormation (N. California)
AWS CloudFormation (N. Virginia)
AWS CloudFormation (Ohio)
AWS CloudFormation (Oregon)
AWS CloudHSM (Montreal)
AWS CloudHSM (N. California)
AWS CloudHSM (N. Virginia)
AWS CloudHSM (Ohio)
AWS CloudHSM (Oregon)
AWS CloudTrail (Montreal)
AWS CloudTrail (N. California)
AWS CloudTrail (N. Virginia)
AWS CloudTrail (Ohio)
AWS CloudTrail (Oregon)
AWS CodeBuild (Montreal)
AWS CodeBuild (N. California)
AWS CodeBuild (N. Virginia)
AWS CodeBuild (Ohio)
AWS CodeBuild (Oregon)
AWS CodeCommit (Montreal)
AWS CodeCommit (N. California)
AWS CodeCommit (N. Virginia)
AWS CodeCommit (Ohio)
AWS CodeCommit (Oregon)
AWS CodeDeploy (Montreal)
AWS CodeDeploy (N. California)
AWS CodeDeploy (N. Virginia)
AWS CodeDeploy (Ohio)
AWS CodeDeploy (Oregon)
AWS CodePipeline (Montreal)
AWS CodePipeline (N. California)
AWS CodePipeline (N. Virginia)
AWS CodePipeline (Ohio)
AWS CodePipeline (Oregon)
AWS CodeStar (Montreal)
AWS CodeStar (N. California)
AWS CodeStar (N. Virginia)
AWS CodeStar (Ohio)
AWS CodeStar (Oregon)
AWS Config (Montreal)
AWS Config (N. California)
AWS Config (N. Virginia)
AWS Config (Ohio)
AWS Config (Oregon)
AWS Control Tower (N. Virginia)
AWS Control Tower (Ohio)
AWS Control Tower (Oregon)
AWS Data Pipeline (N. Virginia)
AWS Data Pipeline (Oregon)
AWS DMS (Montreal)
AWS DMS (N. California)
AWS DMS (N. Virginia)
AWS DMS (Ohio)
AWS DMS (Oregon)
AWS DataSync (N. California)
AWS DataSync (N. Virginia)
AWS DataSync (Ohio)
AWS DataSync (Oregon)
AWS DeepLens (N. Virginia)
AWS Device Farm (Oregon)
AWS Direct Connect (Montreal)
AWS Direct Connect (N. California)
AWS Direct Connect (N. Virginia)
AWS Direct Connect (Ohio)
AWS Direct Connect (Oregon)
AWS Directory Service (Montreal)
AWS Directory Service (N. California)
AWS Directory Service (N. Virginia)
AWS Directory Service (Ohio)
AWS Directory Service (Oregon)
AWS Elastic Beanstalk (Montreal)
AWS Elastic Beanstalk (N. California)
AWS Elastic Beanstalk (N. Virginia)
AWS Elastic Beanstalk (Ohio)
AWS Elastic Beanstalk (Oregon)
AWS Elemental MediaConnect (N. California)
AWS Elemental MediaConnect (N. Virginia)
AWS Elemental MediaConnect (Oregon)
AWS Elemental MediaConvert (Montreal)
AWS Elemental MediaConvert (N. California)
AWS Elemental MediaConvert (N. Virginia)
AWS Elemental MediaConvert (Ohio)
AWS Elemental MediaConvert (Oregon)
AWS Elemental MediaLive (N. Virginia)
AWS Elemental MediaLive (Oregon)
AWS Elemental MediaPackage (N. Virginia)
AWS Elemental MediaPackage (Oregon)
AWS Elemental MediaStore (N. Virginia)
AWS Elemental MediaStore (Oregon)
AWS Elemental MediaTailor (N. Virginia)
AWS Elemental MediaTailor (Oregon)
AWS Firewall Manager (N. California)
AWS Firewall Manager (N. Virginia)
AWS Firewall Manager (Ohio)
AWS Global Accelerator
AWS Glue (Montreal)
AWS Glue (N. California)
AWS Glue (N. Virginia)
AWS Glue (Ohio)
AWS Glue (Oregon)
AWS Greengrass (N. Virginia)
AWS Greengrass (Oregon)
AWS IAM
AWS Import/Export
AWS Internet Connectivity (Montreal)
AWS Internet Connectivity (N. California)
AWS Internet Connectivity (N. Virginia)
AWS Internet Connectivity (Ohio)
AWS Internet Connectivity (Oregon)
AWS IoT (N. Virginia)
AWS IoT (Ohio)
AWS IoT (Oregon)
AWS IoT 1-Click (N. Virginia)
AWS IoT 1-Click (Ohio)
AWS IoT 1-Click (Oregon)
AWS IoT Analytics (N. Virginia)
AWS IoT Analytics (Ohio)
AWS IoT Analytics (Oregon)
AWS IoT Device Defender (N. Virginia)
AWS IoT Device Defender (Ohio)
AWS IoT Device Defender (Oregon)
AWS IoT Device Management
AWS Key Management Service (Montreal)
AWS Key Management Service (N. California)
AWS Key Management Service (N. Virginia)
AWS Key Management Service (Ohio)
AWS Key Management Service (Oregon)
AWS Lambda (Montreal)
AWS Lambda (N. California)
AWS Lambda (N. Virginia)
AWS Lambda (Ohio)
AWS Lambda (Oregon)
AWS License Manager (N. Virginia)
AWS License Manager (Ohio)
AWS License Manager (Oregon)
AWS Management Console
AWS Marketplace
AWS Migration Hub (Oregon)
AWS Mobile Hub (N. Virginia)
AWS NAT Gateway (Montreal)
AWS NAT Gateway (N. California)
AWS NAT Gateway (N. Virginia)
AWS NAT Gateway (Ohio)
AWS NAT Gateway (Oregon)
OpsWorks CM (N. California)
OpsWorks CM (N. Virginia)
OpsWorks CM (Ohio)
OpsWorks CM (Oregon)
AWS OpsWorks for Puppet Enterprise (N. California)
AWS OpsWorks for Puppet Enterprise (N. Virginia)
AWS OpsWorks for Puppet Enterprise (Ohio)
AWS OpsWorks for Puppet Enterprise (Oregon)
AWS OpsWorks Stacks (N. California)
AWS OpsWorks Stacks (N. Virginia)
AWS OpsWorks Stacks (Ohio)
AWS OpsWorks Stacks (Oregon)
AWS Organizations
AWS QuickSight (N. Virginia)
AWS QuickSight (Ohio)
AWS QuickSight (Oregon)
AWS Resource Access Manager (Montreal)
AWS Resource Access Manager (N. California)
AWS Resource Access Manager (N. Virginia)
AWS Resource Access Manager (Ohio)
AWS Resource Access Manager (Oregon)
AWS Resource Groups
Resource Tagging (Montreal)
Resource Tagging (N. California)
Resource Tagging (N. Virginia)
Resource Tagging (Ohio)
Resource Tagging (Oregon)
AWS RoboMaker (N. Virginia)
AWS RoboMaker (Oregon)
AWS Secrets Manager (Montreal)
AWS Secrets Manager (N. California)
AWS Secrets Manager (N. Virginia)
AWS Secrets Manager (Ohio)
AWS Secrets Manager (Oregon)
AWS Security Hub (Montreal)
AWS Security Hub (N. California)
AWS Security Hub (N. Virginia)
AWS Security Hub (Ohio)
AWS Security Hub (Oregon)
AWS Serverless Application Repository (Montreal)
AWS Serverless Application Repository (N. California)
AWS Serverless Application Repository (N. Virginia)
AWS Serverless Application Repository (Ohio)
AWS Serverless Application Repository (Oregon)
AWS Service Catalog (Montreal)
AWS Service Catalog (N. Virginia)
AWS Service Catalog (Ohio)
AWS Service Catalog (Oregon)
AWS Single Sign-On (N. Virginia)
AWS Step Functions (Montreal)
AWS Step Functions (N. California)
AWS Step Functions (N. Virginia)
AWS Step Functions (Ohio)
AWS Step Functions (Oregon)
AWS Storage Gateway (Montreal)
AWS Storage Gateway (N. California)
AWS Storage Gateway (N. Virginia)
AWS Storage Gateway (Ohio)
AWS Storage Gateway (Oregon)
AWS Systems Manager (Montreal)
AWS Systems Manager (N. California)
AWS Systems Manager (N. Virginia)
AWS Systems Manager (Ohio)
AWS Systems Manager (Oregon)
AWS Transfer (Montreal)
AWS Transfer (N. California)
AWS Transfer (N. Virginia)
AWS Transfer (Ohio)
AWS Transfer (Oregon)
AWS Transit Gateway (Montreal)
AWS Transit Gateway (N. California)
AWS Transit Gateway (N. Virginia)
AWS Transit Gateway (Ohio)
AWS Transit Gateway (Oregon)
AWS VPCE PrivateLink (Montreal)
AWS VPCE PrivateLink (N. California)
AWS VPCE PrivateLink (N. Virginia)
AWS VPCE PrivateLink (Ohio)
AWS VPCE PrivateLink (Oregon)
AWS WAF
AWS X-Ray (Montreal)
AWS X-Ray (N. California)
AWS X-Ray (N. Virginia)
AWS X-Ray (Ohio)
AWS X-Ray (Oregon)

Apr 2	Mar 29	Mar 28





		[RESOLVED] Increased Error Rates 12:19 AM PDT We are investigating increased error rates for Lambda integrations and Lambda Authorizers for invokes in the US-WEST-2 Region. 12:58 AM PDT We have identified the root cause of the issue causing increased error rates for Lambda integrations and Lambda Authorizers for invokes in the US-WEST-2 Region and continue to work toward resolution. 2:36 AM PDT Between March 27 11:20 PM and March 28 2:23 AM PDT customers using Lambda with API Gateway for Integrations and Authorizers experienced elevated API error rates in the US-WEST-2 Region. The issue has been resolved and the service is operating normally.






[RESOLVED] Authentication Availability 8:51 PM PDT We are investigating availability issues with authenticating using Active Directory in the US-EAST-1 Region. 9:27 PM PDT Between 6:30 PM and 9:10 PM PDT we experienced increased Active Directory authentication failures in the US-EAST-1 Region. The issue has been resolved and the service is operating normally.




	[RESOLVED] Change Propagation Delays 11:48 AM PDT Weâre investigating longer than usual propagation times for changes to CloudFront configurations. End-user requests for content from our edge locations are not affected by this issue and are being served normally. 12:52 PM PDT We have identified the root cause of the longer than usual propagation times for changes to CloudFront configurations. We continue to work toward resolution. 1:18 PM PDT Between 8:50 AM and 12:59 PM PDT, we experienced longer than usual propagation times for changes to CloudFront configurations. The issue has been resolved and the service is operating normally.






































































































































































































































		[RESOLVED] Increased Error Rates 12:40 AM PDT We are investigating increased API error rates in the US-WEST-2 Region. 1:14 AM PDT We have identified the root cause of the issue causing increased API error rates in the US-WEST-2 Region and continue to work toward resolution. 2:40 AM PDT Between March 27 11:20 PM and March 28 1:57 AM PDT, we experienced increased API error rates for the US-WEST-2 Region. The issue has been resolved and the service is operating normally.







		[RESOLVED] Increased Error Rates 12:26 AM PDT We are investigating increased error rates for API calls in the US-WEST-2 Region. Compute Resource connectivity and running jobs are not affected. 12:57 AM PDT We have identified the root cause of increased error rates for API calls in the US-WEST-2 Region. Compute Resource connectivity and running jobs are not affected. 2:14 AM PDT We have identified the root cause of increased error rates for API calls in the US-WEST-2 Region impacting new API calls. Compute Resource connectivity and running jobs are not affected. We continue to work towards recovery. 2:39 AM PDT Between March 27 11:21 PM and March 28 2:18 AM PDT, AWS Batch experienced increased error rates for API calls in the US-WEST-2 Region. Compute Resource connectivity and running jobs were not affected. The issue has been resolved and the service is operating normally.



	[RESOLVED] Increased API Error Rates 9:26 AM PDT We are investigating increased API error rates in the US-EAST-1 Region. 9:46 AM PDT We continue to investigate increased API error rates in the US-EAST-1 Region. 10:18 AM PDT We have identified the root cause of the increased API error rates in the US-EAST-1 Region. We continue to work toward resolution. 11:28 AM PDT We are beginning to see recovery for the increased API error rates in the US-EAST-1 Region. We continue to work toward full recovery. 11:53 AM PDT Between 8:41 AM and 11:10 AM PDT we experienced increased API error rates in the US-EAST-1 Region. The issue has been resolved and the service is operating normally.

















































































































































		[RESOLVED] Increased API Error Rates 12:11 AM PDT We are investigating increased API error rates in the US-WEST-2 Region. 12:52 AM PDT We have identified the root cause of the issue causing increased API latencies and errors in the US-WEST-2 Region and continue to work toward resolution. 2:21 AM PDT We continue to see recovery in error rates for AWS Lambda API requests in the US-WEST-2 Region. Some customers may still experience errors in new function creation, updating existing functions and console editing. We continue to work towards full resolution. 2:46 AM PDT Between March 27 11:20 PM and March 28 2:35 AM PDT, AWS Lambda experienced API latencies and errors in the US-WEST-2 Region. The issue has been resolved and the service is operating normally.
































		[RESOLVED] API Latencies and Error Rate 12:20 AM PDT We are investigating increased API latencies and error rates in the US-WEST-2 Region. 12:55 AM PDT We have identified the root cause of the issue causing increased API latencies and errors in the US-WEST-2 Region and continue to work toward resolution. 2:36 AM PDT Between March 27 11:15 PM and March 28 1:49 AM PDT, we experienced increased API error rates and latencies in the US-WEST-2 Region. The issue has been resolved and the service is operating normally.


Amazon API Gateway (Sao Paulo)
Amazon Chime
Amazon CloudFront
Amazon CloudSearch (Sao Paulo)
Amazon CloudWatch (Sao Paulo)
Amazon Data Lifecycle Manager (Sao Paulo)
Amazon DynamoDB (Sao Paulo)
EC2 (Sao Paulo)
Amazon ECR (Sao Paulo)
Amazon ECS (Sao Paulo)
ELB (Sao Paulo)
EMR (Sao Paulo)
Amazon ElastiCache (Sao Paulo)
Amazon Elasticsearch Service (Sao Paulo)
Amazon GameLift (Sao Paulo)
Amazon GuardDuty (Sao Paulo)
Amazon Inter-Region VPC Peering
Amazon Kinesis Data Streams (Sao Paulo)
Amazon Kinesis Firehose (Sao Paulo)
Amazon Polly (Sao Paulo)
Amazon Redshift (Sao Paulo)
RDS (Sao Paulo)
Amazon Route 53
Amazon Route 53 Domain Registration
Amazon Route 53 Private DNS (Sao Paulo)
SNS (Sao Paulo)
SQS (Sao Paulo)
S3 (Sao Paulo)
SWF (Sao Paulo)
Amazon SimpleDB (Sao Paulo)
Amazon Transcribe (Sao Paulo)
VPC (Sao Paulo)
Amazon WorkSpaces (Sao Paulo)
Auto Scaling (Sao Paulo)
AWS Batch (Sao Paulo)
AWS Billing Console
AWS Certificate Manager (Sao Paulo)
AWS CloudFormation (Sao Paulo)
AWS CloudTrail (Sao Paulo)
AWS CodeBuild (Sao Paulo)
AWS CodeCommit (Sao Paulo)
AWS CodeDeploy (Sao Paulo)
AWS CodePipeline (Sao Paulo)
AWS Config (Sao Paulo)
AWS DMS (Sao Paulo)
AWS Direct Connect (Sao Paulo)
AWS Directory Service (Sao Paulo)
AWS Elastic Beanstalk (Sao Paulo)
AWS Elemental MediaConvert (Sao Paulo)
AWS Elemental MediaLive (Sao Paulo)
AWS Global Accelerator
AWS IAM
AWS Internet Connectivity (Sao Paulo)
AWS IoT Device Management
AWS Key Management Service (Sao Paulo)
AWS Lambda (Sao Paulo)
AWS Management Console
AWS Marketplace
AWS NAT Gateway (Sao Paulo)
AWS OpsWorks Stacks (Sao Paulo)
AWS Organizations
AWS Resource Groups
Resource Tagging (Sao Paulo)
AWS Secrets Manager (Sao Paulo)
AWS Security Hub (Sao Paulo)
AWS Serverless Application Repository (Sao Paulo)
AWS Step Functions (Sao Paulo)
AWS Storage Gateway (Sao Paulo)
AWS Systems Manager (Sao Paulo)
AWS VPCE PrivateLink (Sao Paulo)
AWS WAF
AWS X-Ray (Sao Paulo)

Apr 3	Apr 2	Apr 1	Mar 31	Mar 30	Mar 29	Mar 28

	[RESOLVED] Authentication Availability 8:51 PM PDT We are investigating availability issues with authenticating using Active Directory in the US-EAST-1 Region. 9:27 PM PDT Between 6:30 PM and 9:10 PM PDT we experienced increased Active Directory authentication failures in the US-EAST-1 Region. The issue has been resolved and the service is operating normally.
					[RESOLVED] Change Propagation Delays 11:48 AM PDT Weâre investigating longer than usual propagation times for changes to CloudFront configurations. End-user requests for content from our edge locations are not affected by this issue and are being served normally. 12:52 PM PDT We have identified the root cause of the longer than usual propagation times for changes to CloudFront configurations. We continue to work toward resolution. 1:18 PM PDT Between 8:50 AM and 12:59 PM PDT, we experienced longer than usual propagation times for changes to CloudFront configurations. The issue has been resolved and the service is operating normally.


Amazon API Gateway (Frankfurt)
Amazon API Gateway (Ireland)
Amazon API Gateway (London)
Amazon API Gateway (Paris)
Amazon API Gateway (Stockholm)
Amazon AppStream 2.0 (Frankfurt)
Amazon AppStream 2.0 (Ireland)
Amazon Athena (Frankfurt)
Amazon Athena (Ireland)
Amazon Athena (London)
Amazon Chime
Amazon Cloud Directory (Frankfurt)
Amazon Cloud Directory (Ireland)
Amazon Cloud Directory (London)
Amazon CloudFront
Amazon CloudSearch (Frankfurt)
Amazon CloudSearch (Ireland)
Amazon CloudWatch (Frankfurt)
Amazon CloudWatch (Ireland)
Amazon CloudWatch (London)
Amazon CloudWatch (Paris)
Amazon CloudWatch (Stockholm)
Amazon Cognito (Frankfurt)
Amazon Cognito (Ireland)
Amazon Cognito (London)
Amazon Comprehend (Frankfurt)
Amazon Comprehend (Ireland)
Amazon Comprehend (London)
Amazon Comprehend Medical (Ireland)
Amazon Connect (Frankfurt)
Amazon Data Lifecycle Manager (Frankfurt)
Amazon Data Lifecycle Manager (Ireland)
Amazon Data Lifecycle Manager (London)
Amazon Data Lifecycle Manager (Paris)
Amazon DocumentDB (Ireland)
Amazon DynamoDB (Frankfurt)
Amazon DynamoDB (Ireland)
Amazon DynamoDB (London)
Amazon DynamoDB (Paris)
Amazon DynamoDB (Stockholm)
Amazon DynamoDB Accelerator (DAX) (Ireland)
EC2 (Frankfurt)
EC2 (Ireland)
EC2 (London)
EC2 (Paris)
EC2 (Stockholm)
Amazon ECR (Frankfurt)
Amazon ECR (Ireland)
Amazon ECR (London)
Amazon ECR (Stockholm)
Amazon ECS (Frankfurt)
Amazon ECS (Ireland)
Amazon ECS (London)
Amazon ECS (Stockholm)
Amazon Elastic Container Service for Kubernetes (London)
Amazon Elastic Container Service for Kubernetes (Paris)
Amazon Elastic Container Service for Kubernetes (Stockholm)
Amazon Elastic File System (Frankfurt)
Amazon Elastic File System (Ireland)
Amazon Elastic File System (London)
ELB (Frankfurt)
ELB (Ireland)
ELB (London)
ELB (Paris)
ELB (Stockholm)
EMR (Frankfurt)
EMR (Ireland)
EMR (London)
EMR (Paris)
EMR (Stockholm)
Amazon Elastic Transcoder (Ireland)
Amazon ElastiCache (Frankfurt)
Amazon ElastiCache (Ireland)
Amazon ElastiCache (London)
Amazon ElastiCache (Paris)
Amazon ElastiCache (Stockholm)
Amazon Elasticsearch Service (Frankfurt)
Amazon Elasticsearch Service (Ireland)
Amazon Elasticsearch Service (London)
Amazon Elasticsearch Service (Paris)
Amazon Elasticsearch Service (Stockholm)
Amazon FreeRTOS (Frankfurt)
Amazon FreeRTOS (Ireland)
Amazon FreeRTOS (London)
Amazon FSx (Ireland)
Amazon GameLift (Frankfurt)
Amazon GameLift (Ireland)
Amazon GameLift (London)
Amazon Glacier (Frankfurt)
Amazon Glacier (Ireland)
Amazon Glacier (London)
Amazon Glacier (Paris)
Amazon Glacier (Stockholm)
Amazon GuardDuty (Frankfurt)
Amazon GuardDuty (Ireland)
Amazon GuardDuty (London)
Amazon Inspector (Frankfurt)
Amazon Inspector (Ireland)
Amazon Inter-Region VPC Peering
Amazon Kinesis Analytics (Ireland)
Amazon Kinesis Data Streams (Frankfurt)
Amazon Kinesis Data Streams (Ireland)
Amazon Kinesis Data Streams (London)
Amazon Kinesis Data Streams (Paris)
Amazon Kinesis Data Streams (Stockholm)
Amazon Kinesis Firehose (Frankfurt)
Amazon Kinesis Firehose (Ireland)
Amazon Kinesis Firehose (London)
Amazon Kinesis Firehose (Paris)
Amazon Kinesis Video Streams (Frankfurt)
Amazon Kinesis Video Streams (Ireland)
Amazon Lex (Ireland)
Amazon Lightsail (Frankfurt)
Amazon Lightsail (Ireland)
Amazon Lightsail (London)
Amazon Lightsail (Paris)
Amazon Machine Learning (Ireland)
Amazon MQ (Frankfurt)
Amazon MQ (Ireland)
Amazon MQ (London)
Amazon Neptune (Ireland)
Amazon Neptune (London)
Amazon Polly (Frankfurt)
Amazon Polly (Ireland)
Amazon Polly (London)
Amazon Polly (Paris)
Amazon Redshift (Frankfurt)
Amazon Redshift (Ireland)
Amazon Redshift (London)
Amazon Redshift (Paris)
Amazon Redshift (Stockholm)
Amazon Rekognition (Ireland)
RDS (Frankfurt)
RDS (Ireland)
RDS (London)
RDS (Paris)
RDS (Stockholm)
Amazon Route 53
Amazon Route 53 Domain Registration
Amazon Route 53 Private DNS (Frankfurt)
Amazon Route 53 Private DNS (Ireland)
Amazon Route 53 Private DNS (London)
Amazon Route 53 Private DNS (Paris)
Amazon Route 53 Private DNS (Stockholm)
Amazon Route 53 Resolver (Ireland)
Amazon SageMaker (Frankfurt)
Amazon SageMaker (Ireland)
Amazon Simple Email Service (Ireland)
SNS (Frankfurt)
SNS (Ireland)
SNS (London)
SNS (Paris)
SNS (Stockholm)
SQS (Frankfurt)
SQS (Ireland)
SQS (London)
SQS (Paris)
SQS (Stockholm)
S3 (Frankfurt)
S3 (Ireland)
S3 (London)
S3 (Paris)
S3 (Stockholm)
SWF (Frankfurt)
SWF (Ireland)
SWF (London)
SWF (Paris)
SWF (Stockholm)
Amazon SimpleDB (Ireland)
Amazon Sumerian (Ireland)
Amazon Sumerian (London)
Amazon Transcribe (Ireland)
Amazon Transcribe (London)
Amazon Transcribe (Paris)
Amazon Translate (Ireland)
VPC (Frankfurt)
VPC (Ireland)
VPC (London)
VPC (Paris)
VPC (Stockholm)
Amazon WorkDocs (Ireland)
Amazon Worklink (Ireland)
Amazon WorkMail (Ireland)
Amazon WorkSpaces (Frankfurt)
Amazon WorkSpaces (Ireland)
Amazon WorkSpaces (London)
Auto Scaling (Frankfurt)
Auto Scaling (Ireland)
Auto Scaling (London)
Auto Scaling (Paris)
Auto Scaling (Stockholm)
AWS AppSync (Frankfurt)
AWS AppSync (Ireland)
AWS AppSync (London)
AWS Backup (Ireland)
AWS Batch (Frankfurt)
AWS Batch (Ireland)
AWS Batch (London)
AWS Batch (Paris)
AWS Batch (Stockholm)
AWS Billing Console
AWS Certificate Manager (Frankfurt)
AWS Certificate Manager (Ireland)
AWS Certificate Manager (London)
AWS Certificate Manager (Paris)
AWS Certificate Manager (Stockholm)
AWS Client VPN (Ireland)
AWS Cloud Map (Frankfurt)
AWS Cloud Map (Ireland)
AWS Cloud Map (London)
AWS Cloud Map (Paris)
AWS Cloud9 (Ireland)
AWS CloudFormation (Frankfurt)
AWS CloudFormation (Ireland)
AWS CloudFormation (London)
AWS CloudFormation (Paris)
AWS CloudFormation (Stockholm)
AWS CloudHSM (Frankfurt)
AWS CloudHSM (Ireland)
AWS CloudTrail (Frankfurt)
AWS CloudTrail (Ireland)
AWS CloudTrail (London)
AWS CloudTrail (Paris)
AWS CloudTrail (Stockholm)
AWS CodeBuild (Frankfurt)
AWS CodeBuild (Ireland)
AWS CodeBuild (London)
AWS CodeBuild (Paris)
AWS CodeCommit (Frankfurt)
AWS CodeCommit (Ireland)
AWS CodeCommit (London)
AWS CodeDeploy (Frankfurt)
AWS CodeDeploy (Ireland)
AWS CodeDeploy (London)
AWS CodeDeploy (Paris)
AWS CodeDeploy (Stockholm)
AWS CodePipeline (Frankfurt)
AWS CodePipeline (Ireland)
AWS CodePipeline (London)
AWS CodeStar (Frankfurt)
AWS CodeStar (Ireland)
AWS CodeStar (London)
AWS Config (Frankfurt)
AWS Config (Ireland)
AWS Config (London)
AWS Config (Paris)
AWS Config (Stockholm)
AWS Control Tower (Ireland)
AWS Data Pipeline (Ireland)
AWS DMS (Frankfurt)
AWS DMS (Ireland)
AWS DMS (London)
AWS DMS (Paris)
AWS DMS (Stockholm)
AWS DataSync (Frankfurt)
AWS DataSync (Ireland)
AWS Direct Connect (Frankfurt)
AWS Direct Connect (Ireland)
AWS Direct Connect (London)
AWS Direct Connect (Paris)
AWS Direct Connect (Stockholm)
AWS Directory Service (Frankfurt)
AWS Directory Service (Ireland)
AWS Directory Service (London)
AWS Elastic Beanstalk (Frankfurt)
AWS Elastic Beanstalk (Ireland)
AWS Elastic Beanstalk (London)
AWS Elastic Beanstalk (Paris)
AWS Elastic Beanstalk (Stockholm)
AWS Elemental MediaConnect (Frankfurt)
AWS Elemental MediaConnect (Ireland)
AWS Elemental MediaConvert (Frankfurt)
AWS Elemental MediaConvert (Ireland)
AWS Elemental MediaConvert (London)
AWS Elemental MediaLive (Frankfurt)
AWS Elemental MediaLive (Ireland)
AWS Elemental MediaPackage (Ireland)
AWS Elemental MediaStore (Frankfurt)
AWS Elemental MediaStore (Ireland)
AWS Elemental MediaTailor (Ireland)
AWS Firewall Manager (Frankfurt)
AWS Firewall Manager (Ireland)
AWS Global Accelerator
AWS Glue (Frankfurt)
AWS Glue (Ireland)
AWS Glue (London)
AWS Glue (Paris)
AWS Greengrass (Frankfurt)
AWS Greengrass (Ireland)
AWS IAM
AWS Import/Export
AWS Internet Connectivity (Frankfurt)
AWS Internet Connectivity (Ireland)
AWS Internet Connectivity (London)
AWS Internet Connectivity (Paris)
AWS IoT (Frankfurt)
AWS IoT (Ireland)
AWS IoT (London)
AWS IoT 1-Click (Frankfurt)
AWS IoT 1-Click (Ireland)
AWS IoT 1-Click (London)
AWS IoT Analytics (Frankfurt)
AWS IoT Analytics (Ireland)
AWS IoT Device Defender (Frankfurt)
AWS IoT Device Defender (Ireland)
AWS IoT Device Defender (London)
AWS IoT Device Management
AWS Key Management Service (Frankfurt)
AWS Key Management Service (Ireland)
AWS Key Management Service (London)
AWS Key Management Service (Paris)
AWS Key Management Service (Stockholm)
AWS Lambda (Frankfurt)
AWS Lambda (Ireland)
AWS Lambda (London)
AWS Lambda (Paris)
AWS Lambda (Stockholm)
AWS License Manager (Frankfurt)
AWS License Manager (Ireland)
AWS License Manager (London)
AWS Management Console
AWS Marketplace
AWS NAT Gateway (Frankfurt)
AWS NAT Gateway (Ireland)
AWS NAT Gateway (London)
AWS NAT Gateway (Paris)
OpsWorks CM (Frankfurt)
OpsWorks CM (Ireland)
AWS OpsWorks for Puppet Enterprise (Frankfurt)
AWS OpsWorks for Puppet Enterprise (Ireland)
AWS OpsWorks Stacks (Frankfurt)
AWS OpsWorks Stacks (Ireland)
AWS OpsWorks Stacks (London)
AWS OpsWorks Stacks (Paris)
AWS Organizations
AWS QuickSight (Ireland)
AWS Resource Access Manager (Frankfurt)
AWS Resource Access Manager (Ireland)
AWS Resource Access Manager (London)
AWS Resource Access Manager (Paris)
AWS Resource Groups
Resource Tagging (Frankfurt)
Resource Tagging (Ireland)
Resource Tagging (London)
Resource Tagging (Paris)
Resource Tagging (Stockholm)
AWS RoboMaker (Ireland)
AWS Secrets Manager (Frankfurt)
AWS Secrets Manager (Ireland)
AWS Secrets Manager (London)
AWS Security Hub (Frankfurt)
AWS Security Hub (Ireland)
AWS Security Hub (London)
AWS Security Hub (Paris)
AWS Serverless Application Repository (Frankfurt)
AWS Serverless Application Repository (Ireland)
AWS Serverless Application Repository (London)
AWS Service Catalog (Frankfurt)
AWS Service Catalog (Ireland)
AWS Service Catalog (London)
AWS Service Catalog (Paris)
AWS Step Functions (Frankfurt)
AWS Step Functions (Ireland)
AWS Step Functions (London)
AWS Step Functions (Paris)
AWS Step Functions (Stockholm)
AWS Storage Gateway (Frankfurt)
AWS Storage Gateway (Ireland)
AWS Storage Gateway (London)
AWS Storage Gateway (Paris)
AWS Storage Gateway (Stockholm)
AWS Systems Manager (Frankfurt)
AWS Systems Manager (Ireland)
AWS Systems Manager (London)
AWS Systems Manager (Stockholm)
AWS Transfer (Frankfurt)
AWS Transfer (Ireland)
AWS Transfer (London)
AWS Transfer (Paris)
AWS Transit Gateway (Frankfurt)
AWS Transit Gateway (Ireland)
AWS Transit Gateway (London)
AWS Transit Gateway (Paris)
AWS VPCE PrivateLink (Frankfurt)
AWS VPCE PrivateLink (Ireland)
AWS VPCE PrivateLink (Paris)
AWS WAF
AWS X-Ray (Frankfurt)
AWS X-Ray (Ireland)
AWS X-Ray (London)
AWS X-Ray (Stockholm)

Apr 2	Mar 31	Mar 29










[RESOLVED] Authentication Availability 8:51 PM PDT We are investigating availability issues with authenticating using Active Directory in the US-EAST-1 Region. 9:27 PM PDT Between 6:30 PM and 9:10 PM PDT we experienced increased Active Directory authentication failures in the US-EAST-1 Region. The issue has been resolved and the service is operating normally.



		[RESOLVED] Change Propagation Delays 11:48 AM PDT Weâre investigating longer than usual propagation times for changes to CloudFront configurations. End-user requests for content from our edge locations are not affected by this issue and are being served normally. 12:52 PM PDT We have identified the root cause of the longer than usual propagation times for changes to CloudFront configurations. We continue to work toward resolution. 1:18 PM PDT Between 8:50 AM and 12:59 PM PDT, we experienced longer than usual propagation times for changes to CloudFront configurations. The issue has been resolved and the service is operating normally.

























































































































































































































































































[RESOLVED] Increased API Errors and Latencies 3:40 AM PDT We are investigating increased API error rates when establishing new connections to AWS IoT Core in the EU-WEST-1 Region. 4:23 AM PDT Between 1:52 AM and 3:35 AM PDT we experienced increased API error rates and latencies in the EU-WEST-1 Region. The issue has been resolved and the service is operating normally.
















	[RESOLVED] Increased Async API Latencies 8:06 AM PDT We are investigating increased Async API latencies in the EU-WEST-1 Region. 8:41 AM PDT We have identified the root cause of increased Async API latencies in the EU-WEST-1 Region and continue to work toward resolution. 9:32 AM PDT Between 6:59 AM and 8:56 AM PDT we experienced increased latencies for the Lambda Async API in the EU-WEST-1 Region. The issue has been resolved and the service is operating normally.


Amazon API Gateway (Mumbai)
Amazon API Gateway (Seoul)
Amazon API Gateway (Singapore)
Amazon API Gateway (Sydney)
Amazon API Gateway (Tokyo)
Amazon AppStream 2.0 (Seoul)
Amazon AppStream 2.0 (Singapore)
Amazon AppStream 2.0 (Sydney)
Amazon AppStream 2.0 (Tokyo)
Amazon Athena (Mumbai)
Amazon Athena (Seoul)
Amazon Athena (Singapore)
Amazon Athena (Sydney)
Amazon Athena (Tokyo)
Amazon Chime
Amazon Cloud Directory (Singapore)
Amazon Cloud Directory (Sydney)
Amazon CloudFront
Amazon CloudSearch (Seoul)
Amazon CloudSearch (Singapore)
Amazon CloudSearch (Sydney)
Amazon CloudSearch (Tokyo)
Amazon CloudWatch (Mumbai)
Amazon CloudWatch (Osaka-Local)
Amazon CloudWatch (Seoul)
Amazon CloudWatch (Singapore)
Amazon CloudWatch (Sydney)
Amazon CloudWatch (Tokyo)
Amazon Cognito (Mumbai)
Amazon Cognito (Seoul)
Amazon Cognito (Singapore)
Amazon Cognito (Sydney)
Amazon Cognito (Tokyo)
Amazon Comprehend (Singapore)
Amazon Comprehend (Sydney)
Amazon Connect (Sydney)
Amazon Connect (Tokyo)
Amazon Data Lifecycle Manager (Mumbai)
Amazon Data Lifecycle Manager (Seoul)
Amazon Data Lifecycle Manager (Singapore)
Amazon Data Lifecycle Manager (Sydney)
Amazon Data Lifecycle Manager (Tokyo)
Amazon DynamoDB (Mumbai)
Amazon DynamoDB (Osaka-Local)
Amazon DynamoDB (Seoul)
Amazon DynamoDB (Singapore)
Amazon DynamoDB (Sydney)
Amazon DynamoDB (Tokyo)
Amazon DynamoDB Accelerator (DAX) (Singapore)
Amazon DynamoDB Accelerator (DAX) (Sydney)
Amazon DynamoDB Accelerator (DAX) (Tokyo)
EC2 (Mumbai)
EC2 (Osaka-Local)
EC2 (Seoul)
EC2 (Singapore)
EC2 (Sydney)
EC2 (Tokyo)
Amazon ECR (Mumbai)
Amazon ECR (Seoul)
Amazon ECR (Singapore)
Amazon ECR (Sydney)
Amazon ECR (Tokyo)
Amazon ECS (Mumbai)
Amazon ECS (Seoul)
Amazon ECS (Singapore)
Amazon ECS (Sydney)
Amazon ECS (Tokyo)
Amazon Elastic Container Service for Kubernetes (Mumbai)
Amazon Elastic File System (Seoul)
Amazon Elastic File System (Singapore)
Amazon Elastic File System (Sydney)
Amazon Elastic File System (Tokyo)
ELB (Mumbai)
ELB (Osaka-Local)
ELB (Seoul)
ELB (Singapore)
ELB (Sydney)
ELB (Tokyo)
EMR (Mumbai)
EMR (Osaka-Local)
EMR (Seoul)
EMR (Singapore)
EMR (Sydney)
EMR (Tokyo)
Amazon Elastic Transcoder (Mumbai)
Amazon Elastic Transcoder (Singapore)
Amazon Elastic Transcoder (Sydney)
Amazon Elastic Transcoder (Tokyo)
Amazon ElastiCache (Mumbai)
Amazon ElastiCache (Osaka-Local)
Amazon ElastiCache (Seoul)
Amazon ElastiCache (Singapore)
Amazon ElastiCache (Sydney)
Amazon ElastiCache (Tokyo)
Amazon Elasticsearch Service (Mumbai)
Amazon Elasticsearch Service (Seoul)
Amazon Elasticsearch Service (Singapore)
Amazon Elasticsearch Service (Sydney)
Amazon Elasticsearch Service (Tokyo)
Amazon FreeRTOS (Sydney)
Amazon FreeRTOS (Tokyo)
Amazon GameLift (Mumbai)
Amazon GameLift (Seoul)
Amazon GameLift (Singapore)
Amazon GameLift (Sydney)
Amazon GameLift (Tokyo)
Amazon Glacier (Mumbai)
Amazon Glacier (Osaka-Local)
Amazon Glacier (Seoul)
Amazon Glacier (Singapore)
Amazon Glacier (Sydney)
Amazon Glacier (Tokyo)
Amazon GuardDuty (Mumbai)
Amazon GuardDuty (Seoul)
Amazon GuardDuty (Singapore)
Amazon GuardDuty (Sydney)
Amazon GuardDuty (Tokyo)
Amazon Inspector (Mumbai)
Amazon Inspector (Seoul)
Amazon Inspector (Sydney)
Amazon Inspector (Tokyo)
Amazon Inter-Region VPC Peering
Amazon Kinesis Data Streams (Mumbai)
Amazon Kinesis Data Streams (Osaka-Local)
Amazon Kinesis Data Streams (Seoul)
Amazon Kinesis Data Streams (Singapore)
Amazon Kinesis Data Streams (Sydney)
Amazon Kinesis Data Streams (Tokyo)
Amazon Kinesis Firehose (Mumbai)
Amazon Kinesis Firehose (Seoul)
Amazon Kinesis Firehose (Singapore)
Amazon Kinesis Firehose (Sydney)
Amazon Kinesis Firehose (Tokyo)
Amazon Kinesis Video Streams (Tokyo)
Amazon Lightsail (Mumbai)
Amazon Lightsail (Seoul)
Amazon Lightsail (Singapore)
Amazon Lightsail (Sydney)
Amazon Lightsail (Tokyo)
Amazon MQ (Seoul)
Amazon MQ (Singapore)
Amazon MQ (Sydney)
Amazon MQ (Tokyo)
Amazon Polly (Mumbai)
Amazon Polly (Seoul)
Amazon Polly (Singapore)
Amazon Polly (Sydney)
Amazon Polly (Tokyo)
Amazon Redshift (Mumbai)
Amazon Redshift (Osaka-Local)
Amazon Redshift (Seoul)
Amazon Redshift (Singapore)
Amazon Redshift (Sydney)
Amazon Redshift (Tokyo)
Amazon Rekognition (Sydney)
Amazon Rekognition (Tokyo)
RDS (Mumbai)
RDS (Osaka-Local)
RDS (Seoul)
RDS (Singapore)
RDS (Sydney)
RDS (Tokyo)
Amazon Route 53
Amazon Route 53 Domain Registration
Amazon Route 53 Private DNS (Mumbai)
Amazon Route 53 Private DNS (Osaka-Local)
Amazon Route 53 Private DNS (Seoul)
Amazon Route 53 Private DNS (Singapore)
Amazon Route 53 Private DNS (Sydney)
Amazon Route 53 Private DNS (Tokyo)
Amazon Route 53 Resolver (Singapore)
Amazon Route 53 Resolver (Sydney)
Amazon Route 53 Resolver (Tokyo)
Amazon SageMaker (Seoul)
Amazon SageMaker (Sydney)
Amazon SageMaker (Tokyo)
SNS (Mumbai)
SNS (Osaka-Local)
SNS (Seoul)
SNS (Singapore)
SNS (Sydney)
SNS (Tokyo)
SQS (Mumbai)
SQS (Osaka-Local)
SQS (Seoul)
SQS (Singapore)
SQS (Sydney)
SQS (Tokyo)
S3 (Mumbai)
S3 (Osaka-Local)
S3 (Seoul)
S3 (Singapore)
S3 (Sydney)
S3 (Tokyo)
SWF (Mumbai)
SWF (Osaka-Local)
SWF (Seoul)
SWF (Singapore)
SWF (Sydney)
SWF (Tokyo)
Amazon SimpleDB (Singapore)
Amazon SimpleDB (Sydney)
Amazon SimpleDB (Tokyo)
Amazon Sumerian (Sydney)
Amazon Transcribe (Mumbai)
Amazon Transcribe (Singapore)
Amazon Transcribe (Sydney)
VPC (Mumbai)
VPC (Osaka-Local)
VPC (Seoul)
VPC (Singapore)
VPC (Sydney)
VPC (Tokyo)
Amazon WorkDocs (Singapore)
Amazon WorkDocs (Sydney)
Amazon WorkDocs (Tokyo)
Amazon WorkSpaces (Seoul)
Amazon WorkSpaces (Singapore)
Amazon WorkSpaces (Sydney)
Amazon WorkSpaces (Tokyo)
Auto Scaling (Mumbai)
Auto Scaling (Osaka-Local)
Auto Scaling (Seoul)
Auto Scaling (Singapore)
Auto Scaling (Sydney)
Auto Scaling (Tokyo)
AWS AppSync (Mumbai)
AWS AppSync (Seoul)
AWS AppSync (Singapore)
AWS AppSync (Sydney)
AWS AppSync (Tokyo)
AWS Batch (Mumbai)
AWS Batch (Seoul)
AWS Batch (Singapore)
AWS Batch (Sydney)
AWS Batch (Tokyo)
AWS Billing Console
AWS Certificate Manager (Mumbai)
AWS Certificate Manager (Osaka-Local)
AWS Certificate Manager (Seoul)
AWS Certificate Manager (Singapore)
AWS Certificate Manager (Sydney)
AWS Certificate Manager (Tokyo)
AWS Cloud Map (Mumbai)
AWS Cloud Map (Seoul)
AWS Cloud Map (Singapore)
AWS Cloud Map (Sydney)
AWS Cloud Map (Tokyo)
AWS Cloud9 (Singapore)
AWS CloudFormation (Mumbai)
AWS CloudFormation (Osaka-Local)
AWS CloudFormation (Seoul)
AWS CloudFormation (Singapore)
AWS CloudFormation (Sydney)
AWS CloudFormation (Tokyo)
AWS CloudHSM (Singapore)
AWS CloudHSM (Sydney)
AWS CloudHSM (Tokyo)
AWS CloudTrail (Mumbai)
AWS CloudTrail (Osaka-Local)
AWS CloudTrail (Seoul)
AWS CloudTrail (Singapore)
AWS CloudTrail (Sydney)
AWS CloudTrail (Tokyo)
AWS CodeBuild (Mumbai)
AWS CodeBuild (Seoul)
AWS CodeBuild (Singapore)
AWS CodeBuild (Sydney)
AWS CodeBuild (Tokyo)
AWS CodeCommit (Mumbai)
AWS CodeCommit (Seoul)
AWS CodeCommit (Singapore)
AWS CodeCommit (Sydney)
AWS CodeCommit (Tokyo)
AWS CodeDeploy (Mumbai)
AWS CodeDeploy (Osaka-Local)
AWS CodeDeploy (Seoul)
AWS CodeDeploy (Singapore)
AWS CodeDeploy (Sydney)
AWS CodeDeploy (Tokyo)
AWS CodePipeline (Mumbai)
AWS CodePipeline (Seoul)
AWS CodePipeline (Singapore)
AWS CodePipeline (Sydney)
AWS CodePipeline (Tokyo)
AWS CodeStar (Seoul)
AWS CodeStar (Singapore)
AWS CodeStar (Sydney)
AWS CodeStar (Tokyo)
AWS Config (Mumbai)
AWS Config (Seoul)
AWS Config (Singapore)
AWS Config (Sydney)
AWS Config (Tokyo)
AWS Data Pipeline (Sydney)
AWS Data Pipeline (Tokyo)
AWS DMS (Mumbai)
AWS DMS (Seoul)
AWS DMS (Singapore)
AWS DMS (Sydney)
AWS DMS (Tokyo)
AWS DataSync (Seoul)
AWS DataSync (Singapore)
AWS DataSync (Sydney)
AWS DataSync (Tokyo)
AWS Direct Connect (Mumbai)
AWS Direct Connect (Seoul)
AWS Direct Connect (Singapore)
AWS Direct Connect (Sydney)
AWS Direct Connect (Tokyo)
AWS Directory Service (Mumbai)
AWS Directory Service (Seoul)
AWS Directory Service (Singapore)
AWS Directory Service (Sydney)
AWS Directory Service (Tokyo)
AWS Elastic Beanstalk (Mumbai)
AWS Elastic Beanstalk (Osaka-Local)
AWS Elastic Beanstalk (Seoul)
AWS Elastic Beanstalk (Singapore)
AWS Elastic Beanstalk (Sydney)
AWS Elastic Beanstalk (Tokyo)
AWS Elemental MediaConnect (Singapore)
AWS Elemental MediaConnect (Sydney)
AWS Elemental MediaConnect (Tokyo)
AWS Elemental MediaConvert (Mumbai)
AWS Elemental MediaConvert (Seoul)
AWS Elemental MediaConvert (Singapore)
AWS Elemental MediaConvert (Sydney)
AWS Elemental MediaConvert (Tokyo)
AWS Elemental MediaLive (Mumbai)
AWS Elemental MediaLive (Seoul)
AWS Elemental MediaLive (Singapore)
AWS Elemental MediaLive (Tokyo)
AWS Elemental MediaPackage (Singapore)
AWS Elemental MediaPackage (Sydney)
AWS Elemental MediaPackage (Tokyo)
AWS Elemental MediaStore (Sydney)
AWS Elemental MediaStore (Tokyo)
AWS Elemental MediaTailor (Singapore)
AWS Elemental MediaTailor (Sydney)
AWS Elemental MediaTailor (Tokyo)
AWS Firewall Manager (Sydney)
AWS Firewall Manager (Tokyo)
AWS Global Accelerator
AWS Glue (Mumbai)
AWS Glue (Seoul)
AWS Glue (Singapore)
AWS Glue (Sydney)
AWS Glue (Tokyo)
AWS Greengrass (Sydney)
AWS Greengrass (Tokyo)
AWS IAM
AWS Import/Export
AWS Internet Connectivity (Mumbai)
AWS Internet Connectivity (Seoul)
AWS Internet Connectivity (Singapore)
AWS Internet Connectivity (Sydney)
AWS Internet Connectivity (Tokyo)
AWS IoT (Seoul)
AWS IoT (Singapore)
AWS IoT (Sydney)
AWS IoT (Tokyo)
AWS IoT 1-Click (Tokyo)
AWS IoT Analytics (Tokyo)
AWS IoT Device Defender (Seoul)
AWS IoT Device Defender (Singapore)
AWS IoT Device Defender (Sydney)
AWS IoT Device Defender (Tokyo)
AWS IoT Device Management
AWS Key Management Service (Mumbai)
AWS Key Management Service (Osaka-Local)
AWS Key Management Service (Seoul)
AWS Key Management Service (Singapore)
AWS Key Management Service (Sydney)
AWS Key Management Service (Tokyo)
AWS Lambda (Mumbai)
AWS Lambda (Seoul)
AWS Lambda (Singapore)
AWS Lambda (Sydney)
AWS Lambda (Tokyo)
AWS License Manager (Mumbai)
AWS License Manager (Seoul)
AWS License Manager (Singapore)
AWS License Manager (Sydney)
AWS License Manager (Tokyo)
AWS Management Console
AWS Marketplace
AWS NAT Gateway (Mumbai)
AWS NAT Gateway (Seoul)
AWS NAT Gateway (Singapore)
AWS NAT Gateway (Sydney)
AWS NAT Gateway (Tokyo)
OpsWorks CM (Singapore)
OpsWorks CM (Sydney)
OpsWorks CM (Tokyo)
AWS OpsWorks for Puppet Enterprise (Singapore)
AWS OpsWorks for Puppet Enterprise (Sydney)
AWS OpsWorks for Puppet Enterprise (Tokyo)
AWS OpsWorks Stacks (Mumbai)
AWS OpsWorks Stacks (Seoul)
AWS OpsWorks Stacks (Singapore)
AWS OpsWorks Stacks (Sydney)
AWS OpsWorks Stacks (Tokyo)
AWS Organizations
AWS QuickSight (Singapore)
AWS QuickSight (Sydney)
AWS QuickSight (Tokyo)
AWS Resource Access Manager (Mumbai)
AWS Resource Access Manager (Seoul)
AWS Resource Access Manager (Singapore)
AWS Resource Access Manager (Sydney)
AWS Resource Access Manager (Tokyo)
AWS Resource Groups
Resource Tagging (Mumbai)
Resource Tagging (Osaka-Local)
Resource Tagging (Seoul)
Resource Tagging (Singapore)
Resource Tagging (Sydney)
Resource Tagging (Tokyo)
AWS Secrets Manager (Mumbai)
AWS Secrets Manager (Seoul)
AWS Secrets Manager (Singapore)
AWS Secrets Manager (Sydney)
AWS Secrets Manager (Tokyo)
AWS Security Hub (Mumbai)
AWS Security Hub (Seoul)
AWS Security Hub (Singapore)
AWS Security Hub (Sydney)
AWS Security Hub (Tokyo)
AWS Serverless Application Repository (Mumbai)
AWS Serverless Application Repository (Seoul)
AWS Serverless Application Repository (Singapore)
AWS Serverless Application Repository (Sydney)
AWS Serverless Application Repository (Tokyo)
AWS Service Catalog (Singapore)
AWS Service Catalog (Sydney)
AWS Service Catalog (Tokyo)
AWS Step Functions (Seoul)
AWS Step Functions (Singapore)
AWS Step Functions (Sydney)
AWS Step Functions (Tokyo)
AWS Storage Gateway (Mumbai)
AWS Storage Gateway (Seoul)
AWS Storage Gateway (Singapore)
AWS Storage Gateway (Sydney)
AWS Storage Gateway (Tokyo)
AWS Systems Manager (Mumbai)
AWS Systems Manager (Seoul)
AWS Systems Manager (Singapore)
AWS Systems Manager (Sydney)
AWS Systems Manager (Tokyo)
AWS Transfer (Seoul)
AWS Transfer (Singapore)
AWS Transfer (Sydney)
AWS Transfer (Tokyo)
AWS Transit Gateway (Mumbai)
AWS Transit Gateway (Seoul)
AWS Transit Gateway (Singapore)
AWS Transit Gateway (Sydney)
AWS Transit Gateway (Tokyo)
AWS VPCE PrivateLink (Mumbai)
AWS VPCE PrivateLink (Osaka-Local)
AWS VPCE PrivateLink (Seoul)
AWS VPCE PrivateLink (Singapore)
AWS VPCE PrivateLink (Sydney)
AWS VPCE PrivateLink (Tokyo)
AWS WAF
AWS X-Ray (Mumbai)
AWS X-Ray (Seoul)
AWS X-Ray (Singapore)
AWS X-Ray (Sydney)
AWS X-Ray (Tokyo)

Apr 3	Apr 2	Apr 1	Mar 31	Mar 30	Mar 29	Mar 28














	[RESOLVED] Authentication Availability 8:51 PM PDT We are investigating availability issues with authenticating using Active Directory in the US-EAST-1 Region. 9:27 PM PDT Between 6:30 PM and 9:10 PM PDT we experienced increased Active Directory authentication failures in the US-EAST-1 Region. The issue has been resolved and the service is operating normally.


					[RESOLVED] Change Propagation Delays 11:48 AM PDT Weâre investigating longer than usual propagation times for changes to CloudFront configurations. End-user requests for content from our edge locations are not affected by this issue and are being served normally. 12:52 PM PDT We have identified the root cause of the longer than usual propagation times for changes to CloudFront configurations. We continue to work toward resolution. 1:18 PM PDT Between 8:50 AM and 12:59 PM PDT, we experienced longer than usual propagation times for changes to CloudFront configurations. The issue has been resolved and the service is operating normally.

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AWS Training

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#####EOF##### Amazon Web Services (AWS) â Servizi di cloud computing

Lightsail

Tutto il necessario per iniziare a usare AWS a prezzi contenuti e prevedibili

Amazon DynamoDB

Database non relazionale completamente gestito a scalabilità elevata

Sviluppo di applicazioni serverless

Trova gli strumenti per testare, distribuire e monitorare applicazioni serverless

Oltre 110.000 database migrati in AWS

Risparmia tempo e costi: esegui migrazioni a database completamente gestiti

Esplora i nostri prodotti

Analisi

Amazon AthenaQuery sui dati in S3 con SQL

Amazon CloudSearchServizio di ricerca gestito

Amazon EMRFramework Hadoop gestito

Amazon Elasticsearch ServiceEsecuzione e ridimensionamento di cluster Elasticsearch

Amazon KinesisAnalisi in tempo reale di flussi di dati e video

Amazon Managed Streaming for KafkaServizio Apache Kafka completamente gestito

Amazon RedshiftData warehousing rapido, semplice e a costi contenuti

Amazon QuickSightServizio veloce di analisi aziendale

AWS Data PipelineServizio di orchestrazione per flussi di lavoro periodici basati sui dati

AWS GluePreparazione e caricamento di dati

AWS Lake FormationCrea un data lake sicuro in pochi giorni

Integrazione di applicazioni

AWS Step FunctionsCoordinamento delle applicazioni distribuite

Amazon MQBroker di messaggi gestito per ActiveMQ

Amazon Simple Notification Service (SNS)Argomenti per messaggistica gestita per pub/sub

Amazon Simple Queue Service (SQS) Accodamento messaggi gestito

AWS AppSyncCrea app basate sui dati con funzionalità offline e in tempo reale

Realtà aumentata e realtà virtuale

Amazon SumerianCreazione ed esecuzione di applicazioni per realtà aumentata e realtà virtuale

Gestione costi AWS

Strumento di esplorazione dei costi AWSAnalizza i tuoi costi e il tuo utilizzo AWS

AWS BudgetsStabilisci budget di costi e utilizzo personalizzati

Report Cost & Usage di AWSAccedi a informazioni complete su costi e utilizzo

Report sulle istanze riservateRaccogli dati sulle istanze riservate in uso

Blockchain

Amazon Managed BlockchainCrea e gestisci reti scalabili con tecnologia blockchain

Amazon Quantum Ledger Database (QLDB)Database per libri mastri completamente gestito

Applicazioni aziendali

Alexa for BusinessPotenzia la tua organizzazione con Alexa

Amazon ChimeOrganizzazione semplificata di riunioni, chiamate video e chat

Amazon WorkMailE-mail e calendario sicuri

Calcolo

Amazon EC2Server virtuali nel cloud

Amazon EC2 Auto ScalingCapacità di elaborazione scalabile in base alla domanda

Amazon Elastic Container RegistryArchiviazione e recupero di immagini Docker

Amazon Elastic Container ServiceEsecuzione e gestione di contenitori Docker

Amazon Elastic Container Service for KubernetesEsecuzione di Kubernetes gestiti in AWS

Amazon LightsailAvvio e gestione di server privati virtuali

AWS BatchEsecuzione di attività in batch su qualsiasi scala

AWS Elastic BeanstalkEsecuzione e gestione di applicazioni Web

AWS FargateEseguire contenitori senza server o cluster gestiti

AWS LambdaEsegui il tuo codice senza badare ai server.

AWS OutpostsEsegui lâinfrastruttura AWS in locale

AWS Serverless Application RepositoryScoperta, distribuzione e pubblicazione di applicazioni serverless

Elastic Load Balancing (ELB)Distribuisci il traffico in entrata sui tuoi molteplici obiettivi

VMware Cloud on AWSCreazione di un cloud ibrido senza hardware personalizzato

Coinvolgimento dei clienti

Amazon ConnectServizio di contact center basato sul cloud

Amazon PinpointCoinvolgimento utente personalizzato sui vari canali

Amazon Simple Email Service (SES)Invio e ricezione di posta elettronica

Database

Amazon AuroraDatabase relazionale gestito a prestazioni elevate

Amazon DynamoDBDatabase NoSQL gestito

Amazon DocumentDB (compatibile con MongoDB)Database di documenti completamente gestito

Amazon ElastiCacheSistema di caching in memoria

Amazon Neptune Servizio di database completamente gestito

Amazon Quantum Ledger Database (QLDB)Database per libri mastri completamente gestito

Amazon RDSServizio di database relazionale gestito per MySQL, PostgreSQL, Oracle, SQL Server e MariaDB

Amazon RDS on VMwareAutomatizza la gestione di database in locale

Amazon RedshiftData warehousing rapido, semplice e a costi contenuti

Amazon TimestreamDatabase di serie temporali completamente gestito

AWS Database Migration ServiceMigrazione di database con tempi di inattività minimi

Strumenti per sviluppatori

AWS CodeStarSviluppo e distribuzione di applicazioni AWS

Amazon CorrettoDistribuzione pronta per la produzione di OpenJDK

AWS Cloud9Compilazione, esecuzione e debug di codice su un IDE cloud

AWS CodeBuildCreazione di build e verifica di codice

AWS CodeCommitArchiviazione di codice in repository Git privati

AWS CodeDeployAutomatizzazione della distribuzione di codice

AWS CodePipelineRilascio di software con distribuzione continua

Interfaccia a riga di comando di AWSStrumento unificato per la gestione dei servizi AWS

Strumenti e kit SDKStrumenti e kit SDK per AWS

AWS X-RayAnalisi e debug delle applicazioni

Elaborazione degli utenti finali

Amazon AppStream 2.0Streaming sicuro di applicazioni desktop su browser

Amazon WorkDocsStorage e condivisione di documenti aziendali in totale sicurezza

Amazon WorkLinkAccesso mobile per siti Web interni

Amazon WorkSpacesDesktop virtuali nel cloud

Game Tech

Amazon GameLiftHosting di server di gioco dedicati semplice, veloce e a prezzi contenuti

Amazon LumberyardUn motore grafico 3D multipiattaforma gratuito con codice sorgente completo che si integra con AWS e Twitch

Internet of Things

AWS IoT CoreConnessione di dispositivi con il cloud

Amazon FreeRTOSSistema operativo IoT per microcontroller

AWS GreengrassElaborazione, messaggistica e sincronizzazione locali per dispositivi

AWS IoT 1-ClickCreazione 1-Click di un trigger AWS Lambda

AWS IoT AnalyticsAnalisi per dispositivi IoT

Pulsante AWS IoTDash Button programmabile nel cloud

AWS IoT Device DefenderGestione della sicurezza per dispositivi IoT

AWS IoT Device ManagementAcquisizione, organizzazione e gestione in remoto di dispositivi IoT

AWS IoT EventsRilevamento e risposta di eventi IoT

AWS IoT SiteWiseRaccoglie e interpreta dati IoT

AWS IoT Things GraphCollega dispositivi e servizi Web in modo semplice

AWS Partner Device CatalogCatalogo curato di hardware IoT compatibile con AWS

Machine learning

Amazon SageMakerCreazione, formazione e distribuzione di modelli di apprendimento automatico su vasta scala

Amazon ComprehendScoperta di informazioni e relazioni nel testo

Amazon Elastic InferenceAccelerazione di inferenza di apprendimento approfondito

Amazon ForecastUsa il machine learning per affinare la precisione delle previsioni

Amazon LexCreazione di chatbot vocali e di testo

Amazon PersonalizeCrea suggerimenti in tempo reale nelle tue applicazioni

Amazon PollyRiproduzione di testo con voci naturali

Amazon RekognitionAnalisi di immagini e video

Amazon SageMaker Ground TruthCrea set di dati precisi di addestramento tramite machine learning

Amazon TextractEstrazione di testo e dati da documenti

Amazon TranslateTraduzione linguistica naturale e scorrevole

Amazon TranscribeRiconoscimento vocale automatico

AMI di apprendimento profondo di AWSApprendimento profondo in Amazon EC2

AWS DeepLensVideocamera con funzioni di apprendimento profondo

AWS DeepRacerAutomobile da corsa autonoma su scala 1:18, guidata con machine learning

AWS InferentiaChip di inferenza ML

Apache MXNet in AWSFramework di apprendimento approfondito open source e scalabile

TensorFlow in AWSLibreria open source di intelligenza artificiale

Gestione e governance

Amazon CloudWatchMonitoraggio di risorse e applicazioni

AWS Auto ScalingRicalibrazione delle risorse in base alla domanda

AWS CloudFormationCreazione e gestione di risorse con modelli

AWS CloudTrailMonitoraggio attività dell'utente e utilizzo di API

Interfaccia a riga di comando di AWSStrumento unificato per la gestione dei servizi AWS

AWS ConfigMonitoraggio di modifiche e inventario risorse

AWS Control TowerConfigura e gestisci un ambiente di più account sicuro e conforme

App mobile per la console AWSAccesso rapido alle proprie risorse

AWS License ManagerMonitora, gestisce e controlla le licenze

Console di gestione AWSInterfaccia utente basata sul Web

AWS Managed ServicesGestione delle operazioni per le infrastrutture per AWS

AWS OpsWorksOperazioni di automazione con Chef e Puppet

AWS Personal Health DashboardVisualizzazione personalizzata dello stato di integrità dei servizi AWS

AWS Service CatalogCreazione e utilizzo di prodotti standardizzati

AWS Systems ManagerAcquisisci insight operativi e agisci di conseguenza

AWS Trusted AdvisorOttimizzazione di prestazioni e protezione

AWS Well-Architected ToolControlla e migliora i tuoi carichi di lavoro

Servizi multimediali

Amazon Elastic TranscoderTranscodifica semplice e scalabile di file multimediali

Amazon Kinesis Video StreamsElaborazione e analisi di flussi video

AWS Elemental MediaConnectTrasferimento di video live sicuro e affidabile

AWS Elemental MediaConvertConversione di contenuti video basati su file

AWS Elemental MediaLiveConversione di contenuti video in diretta

AWS Elemental MediaPackageCreazione di origini e pacchetti video

AWS Elemental MediaStoreStorage multimediale e origini in HTTP semplice

AWS Elemental MediaTailorPersonalizzazione e monetizzazione di video

Migrazione e trasferimento

AWS Migration HubMonitoraggio delle migrazioni da un'unica posizione

AWS Application Discovery ServiceScopri le applicazioni locali per semplificare la migrazione

AWS Database Migration ServiceMigrazione di database con interruzioni minime

AWS DataSyncTrasferimento di dati online semplice e veloce

AWS Server Migration Service Migrazione di server locali in AWS

Famiglia di servizi AWS SnowDispositivi fisici per la migrazione dei dati da e verso AWS

AWS Transfer for SFTPServizio SFTP completamente gestito

Mobile

AWS AmplifyCrea e distribuisci applicazioni per Web e dispositivi mobili

Amazon API GatewayCrea, distribuisci e gestisci API

Amazon PinpointCoinvolgimento utente personalizzato sui vari canali

AWS AppSyncCrea app basate sui dati con funzionalità offline e in tempo reale

AWS Device FarmProva applicazioni Web, Android e iOS su dispositivi reali nel cloud AWS

Reti e distribuzione di contenuti

Amazon VPCRisorse cloud isolate

Amazon API GatewayCreazione, distribuzione e gestione di API

Amazon CloudFrontRete globale per la distribuzione di contenuti

Amazon Route 53DNS (Domain Name System) scalabile

Amazon VPC PrivateLinkAccesso sicuro ai servizi ospitati su AWS

AWS App MeshMonitoraggio e controllo di microservizi

AWS Cloud MapRilevamento dei servizi per risorse cloud

AWS Direct ConnectConnessione di rete dedicata a AWS

AWS Global AcceleratorAumenta la disponibilità e le prestazioni delle applicazioni

AWS Transit GatewayRicalibra le connessioni di account e del cloud privato virtuale in modo semplice

Robotica

AWS RoboMakerSviluppa, esegui test e distribuisci applicazioni di robotica

Satellite

AWS Ground StationStazione sul campo completamente gestita come un servizio

Sicurezza, identità e conformità

AWS Identity and Access Management (IAM)Gestione dell'accesso degli utenti e delle chiavi di crittografia

Amazon Cloud DirectoryCrea directory nativi del cloud flessibili

Amazon CognitoGestione dell'identità per le tue app

Amazon GuardDutyServizio gestito di rilevamento delle minacce

Amazon InspectorAnalisi di sicurezza sulle applicazioni

Amazon MacieScopri, classifica e proteggi i tuoi dati

AWS ArtifactAccesso on demand ai report di conformità di AWS

AWS Certificate ManagerProvisioning, gestione e distribuzione di certificati SSL/TLS

AWS CloudHSMStorage di chiavi basato sull'hardware per la conformità normativa

AWS Directory ServiceHosting e gestione di Active Directory

AWS Firewall ManagerGestione centralizzata di regole del firewall

AWS Key Management ServiceCreazione e controllo gestiti di chiavi di crittografia

AWS OrganizationsGestione basata su policy per gruppi di account AWS

AWS Secrets ManagerModifica, gestione e utilizzo di chiavi segrete

AWS Security HubCentro unificato di conformità e sicurezza

AWS ShieldProtezione da attacchi DDoS

AWS Single Sign-OnServizio di Single Sign-On (SSO) nel cloud

AWS WAFFiltro contro il traffico Web dannoso

Storage

Amazon Simple Storage Service (S3)Storage scalabile nel cloud

Amazon Elastic Block Store (EBS)Volumi di storage a blocchi EC2

Amazon Elastic File System (EFS)File system interamente gestito per EC2

Amazon FSx for LustreFile system di elaborazione intensiva completamente gestito

Amazon FSx for Windows File ServerFile system Windows completamente gestito

Amazon S3 GlacierStorage di archivi a basso costo nel cloud

AWS BackupBackup centralizzato per i servizi AWS

Famiglia di servizi AWS SnowDispositivi fisici per la migrazione dei dati da e verso AWS

AWS Storage GatewayIntegrazione di storage ibrido

Scopri tutti i prodotti

Per l'innovazione dei clienti

Trasformazione dellâazienda
Analisi predittive
Machine learning
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APPLICAZIONI AZIENDALI

Trasformazione dellâazienda
Capital One reinventa i servizi bancari con AWS

Scopri come Capital One ha implementato la sua strategia basata sul cloud attraverso formazione, pianificazione a lungo termine e una cultura centrata sulle necessità dei clienti.
Ulteriori informazioni

Concentrarsi sui clienti

Nel 2014, Capital One muoveva i primi passi nel cloud e i suoi ingegneri stavano già sperimentando AWS. Lâobiettivo dellâazienda era quello di produrre le nuove funzionalità richieste dai clienti nel minor tempo possibile. Quindi, ha scelto di adottare AWS.

Prima il dovere

Poiché Capital One è unâistituzione che si occupa di servizi finanziari, la sicurezza e la conformità sono aspetti essenziali allâinterno della sua organizzazione. Per rispondere a queste necessità, Capital One ha realizzato un framework contro i rischi nel cloud e ha stabilito una funzione di governance per il cloud prima di migrare qualsiasi carico di lavoro su AWS.

Formazione: la chiave per il cloud

Capital One offre un programma di formazione sul cloud agli ingegneri che lavorano direttamente su AWS, così come agli stakeholder non tecnici che devono essere in grado di sostenere il potere del cloud computing. Lâazienda figura ora nei primi tre posti della classifica di organizzazioni a livello mondiale con il maggior numero di certificazioni AWS rilasciate ai propri dipendenti.

Sfruttare i vantaggi del cloud

Grazie allâutilizzo di AWS, Capital One ora immette nuovi prodotti nel mercato in poche settimane, piuttosto che mesi o anni. Inoltre, utilizza il machine learning per migliorare lâesperienza dei propri utenti e attrae i migliori sviluppatori e ingegneri. Tutto ciò permette allâazienda di raggiungere il suo più importante obiettivo: creare delle esperienze impeccabili per i propri clienti.
Analisi predittive
Formula One Group usa Amazon SageMaker per ottimizzare le gare

Scopri in che modo Formula 1 usa Amazon SageMaker e altri servizi AWS per ottimizzare le decisioni in gara e migliorare l'esperienza dei fan.

Ulteriori informazioni

L'inizio di una trasformazione

Formula One Group sta trasferendo in AWS la maggior parte della propria infrastruttura, che al momento si trova su data center locali; lo scopo è utilizzare i servizi di apprendimento automatico di AWS, tra cui Amazon SageMaker.

Ottimizzare le gare con l'apprendimento automatico

Grazie alla cronologia di dati raccolti dai veicoli negli ultimi 65 anni, i data scientist della Formula 1 stanno addestrando modelli di apprendimento profondo che offrono previsioni e aiutano i team a ottimizzare le decisioni durante una gara. I modelli sono in grado di prevedere quando i team dovrebbero richiamare i veicoli per i pit-stop, determinare il momento migliore per cambiare le gomme e valutare le prestazioni dei singoli piloti.

Avvicinare i fan al circuito

Formula 1 usa quindi i flussi di dati, le analisi e i servizi multimediali di AWS per offrire informazioni sulle decisioni dei piloti e sulle prestazioni dei veicoli a oltre 500 milioni di fan.

Il futuro a un passo

Eseguendo i carichi di lavoro HPC nell'ambiente scalabile di AWS, Formula 1 può pensare di apportare grandi innovazioni al proprio formato senza preoccupazioni per la capacità necessaria per implementarle.
Machine learning
MLB sceglie AWS come provider ufficiale di apprendimento automatico

Scopri in che modo la lega di baseball professionale americana conferisce un nuovo significato alle statistiche utilizzando l'apprendimento automatico in AWS
Ulteriori informazioni

Una base per l'apprendimento approfondito

MLB raccoglie dati statistici sui giocatori e i club da decine di anni, e dal 2015 ha iniziato a usare AWS per raccogliere e distribuire le statistiche di gioco e migliorare l'esperienza dei fan.

Potenti mezzi per sviluppatori

Grazie ad Amazon SageMaker, MLB consente a data scientist e sviluppatori di creare, addestrare e distribuire in modo rapido e semplice modelli di apprendimento automatico su vasta scala.

Alleggerire il carico

Questi modelli hanno aiutato MLB a eliminare i lunghi interventi manuali dai propri processi di registrazione di informazioni e statistiche, ad esempio per la visualizzazione dei risultati, l'acquisizione di note di gioco e la rilevazione del tipo di lancio.

Personalizzazione del gioco

MLB progetta di collaborare con Amazon MSL Solutions Lab per continuare a migliorare Statcast, la tecnologia che analizza le prestazioni dei giocatori, includendo il testing della precisione delle previsioni di lancio e la creazione di esperienze personalizzate.

Un home run con l'intelligenza artificiale

MLB continuerà a innovare utilizzando l'intelligenza artificiale In futuro, utilizzerà Amazon Comprehend per creare un modello di sintassi che sia in grado di scrivere script per le partite in tempo reale che simulino annunciatori famosi.
SERVERLESS
Matson opera la propria soluzione di spedizione e logistica globale in AWS

Scopri in che modo Matson usa AWS per promuovere l'innovazione e l'assistenza clienti senza sacrificare affidabilità, sicurezza e risparmio sui costi infrastrutturali.
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Monitoraggio in tempo reale

Matson ha creato un'applicazione per dispositivi mobili con cui i suoi clienti possono monitorare in tempo reale la posizione delle loro merci. L'applicazione, inoltre, permette di ricercare in modo interattivo nella pianificazione dei percorsi delle navi, visualizzare mappe dei porti e riprodurre feed video in tempo reale.

Accesso da dispositivi mobili

Tutti i dispositivi mobili accedono ad AWS tramite Amazon API Gateway. In questo modo gli endpoint di edge location usufruiscono di maggiore disponibilità per l'accesso alle risorse nei cloud privati virtuali di Matson.

Elaborazione serverless

Le funzioni AWS Lambda sono state scritte utilizzando microservizi modellati su contesti aziendali con familiarità con le operazioni marittime, tra cui monitoraggio delle spedizioni e pianificazione dei percorsi delle navi.

Configurazione e storage di database

Amazon DynamoDB gestisce la configurazione e le notifiche di feedback degli utenti inviate da dispositivi mobili. DynamoDB Streams offre notifiche in tempo reale all'assistenza clienti di Matson.

Monitoraggio dei dati e avvisi

I clienti di Matson possono fare affidamento su un monitoraggio accurato e tempestivo delle loro merci e delle loro navi. Monitoraggio e invio di avvisi sono garantiti dall'uso di Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda e CloudWatch Logs.

Applicazione completamente serverless

Matson offre ai propri clienti un'applicazione completamente serverless per consentire loro di monitorare le loro merci, senza dover provvedere a un'infrastruttura.
Videogiochi
Epic Games utilizza AWS per il videogioco di fama mondiale Fortnite

Scopri come Epic Games utilizza AWS per fornire Fortnite a più di 200 milioni di giocatori in tutto il mondo

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Gettare le fondamenta sul cloud

Epic Games ha cominciato a utilizzare AWS nel 2012 e ora ha migrato tutti i propri carichi di lavoro sul cloud AWS, eseguendo il proprio parco di server del videogioco, i sistemi di piattaforme back-end, i database, i siti Web, la pipeline di analisi e i sistemi di elaborazione su AWS.

Fama a livello mondiale

Nel 2017, Epic Games ha lanciato Fortnight, un videogioco multi-piattaforma e multi-giocatore che ha riscosso immediatamente unâenorme fama a livello mondiale. Solo durante il primo anno, la base di utenti di Fortnite è aumentata più di 100 volte, raggiungendo un numero complessivo di giocatori che supera i 200 milioni.

Superare i limiti della scalabilità

AWS ha svolto un ruolo fondamentale nel successo di Fortnite. Grazie allâutilizzo di AWS, Epic Games ospita eventi interni al gioco con centinaia di migliaia di utenti invitati, senza doversi preoccupare delle capacità necessarie. Inoltre, elabora 125 milioni di eventi al minuto nella propria pipeline di analisi e gestisce la crescita del proprio warehouse di dati con 5 PB al mese.

Fornire la miglior esperienza di gioco

Utilizzando AWS, Epic Games può continuare a migliorare lâesperienza dei propri giocatori e offrire nuovi ed eccitati giochi ed elementi di gioco. Lâazienda progetta di espandere il proprio utilizzo dei servizi AWS in futuro, includendo il machine learning e i servizi basati su container.
APPLICAZIONI AZIENDALI
BP ha migliorato efficienza e agilità delle proprie app aziendali critiche

Scopri in che modo BP ha semplificato e modernizzato la suite di applicazioni SAP in uso, migliorando l'esperienza dei clienti e ottenendo maggiore agilità nella gestione dei costi e prestazioni più potenti.
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Gestione di app aziendali critiche

Il reparto IT di BP gestisce le applicazioni SAP impiegate da migliaia di dipendenti in tutto il mondo impegnati in gestione della catena di fornitura, approvvigionamento, gestione finanziaria e molto altro.

Velocità e gestione dei costi migliorate

Per migliorare velocità e gestione dei costi, BP usa Amazon EC2 per eseguire la migrazione delle app nel cloud. Inoltre, impiega istanze X1 di EC2 per migliorare la scalabilità e le prestazioni delle analisi in tempo reale.

Prestazioni più potenti

Ora BP è in grado di creare nuovi sistemi on demand in poche ore, mentre prima erano necessarie settimane o mesi. Le prestazioni sono visibilmente migliorate; ad esempio il sistema ERP Lubricant ha ottenuto un'impennata delle prestazioni del 40%.

Protezione dei dati

Nell'ambito della migrazione nel cloud, BP basa ora i suoi standard di sicurezza su AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch e AWS Trusted Advisor. Questi servizi hanno consentito a BP di sviluppare un framework sicuro per le attività IT aziendali.

Cerca. Acquista. Distribuisci.

AWS Marketplace è un catalogo digitale che semplifica ricerca, testing, acquisto e distribuzione in AWS di migliaia soluzioni software create da produttori indipendenti.

Ulteriori informazioni

Esplora le nostre soluzioni

Apprendimento automatico

Servizi e piattaforme con il più ampio supporto di framework di apprendimento automatico sul mercato.

Ulteriori informazioni

Analisi e data lake

Memorizza, suddividi in categorie e analizza i tuoi dati in un repository centralizzato.

Ulteriori informazioni

Internet of Things

Un sistema di dispositivi universali che collegano il mondo fisico al cloud.

Ulteriori informazioni

Elaborazione serverless

Crea build ed esegui applicazioni e servizi senza dover gestire alcun server.

Ulteriori informazioni

Contenitori

Raccogli in pacchetti e distribuisci soluzioni semplici che offrono un ambiente software omogeneo e portabile in cui eseguire applicazioni.

Ulteriori informazioni

Applicazioni enterprise

Crea applicazioni con un ampio set di servizi progettati specificamente per i requisiti di sicurezza, conformità, privacy e governance delle grandi imprese.

Ulteriori informazioni

Storage

Opzioni durevoli e a costi contenuti per backup, disaster recovery, archiviazione di dati con capacità a livello di petabyte.

Ulteriori informazioni

Carichi di lavoro Windows

Capacità di elaborazione flessibile e scalabile per applicazioni Microsoft. Gestione semplice e sicura di carichi di lavoro Windows.

Ulteriori informazioni

Visualizza tutte le soluzioni

Sviluppato per i requisiti più severi

Sicurezza

Funzionalità complete per soddisfare i più severi requisiti di sicurezza.

Conformità

Ampia gamma di controlli, auditing e numerosi riconoscimenti in materia di sicurezza.

Tecnologia ibrida

Crea architetture ibride che estendono le tue infrastrutture locali nel cloud.

Scalabilità

Usa solo le risorse necessarie, aumentando o riducendo la capacità elasticamente in pochi minuti.

Scopri come i nostri clienti usano AWS

Mostra tutte le testimonianze dei clienti

Rete globale di regioni AWS

Il Cloud AWS opera in 61 zone di disponibilità distribuite su 20 regioni geografiche in tutto il mondo, con altre 12 zone di disponibilità e 4 ulteriori regioni già annunciate per il prossimo futuro in Bahrein, Città del Capo, Hong Kong e Milano.

Regione e numero delle zone di disponibilità

Stati Uniti orientali
Virginia settentrionale (6), Ohio (3)

Stati Uniti occidentali
California settentrionale (3), Oregon (4)

Asia Pacifico
Mumbai (2), Seul (2), Singapore (3), Sydney (3), Tokyo (4), Osaka-Locale (1)

Canada
Centrale (2)

Cina
Pechino (2), Ningxia (3)

Europa
Francoforte (3), Irlanda (3), Londra (3), Parigi (3), Stoccolma (3)

Sud America
San Paolo (3)

GovCloud (Stati Uniti)
Stati Uniti orientali (3), Stati Uniti occidentali (3)

Nuove regioni (disponibili a breve)

Bahrein

Città del Capo

Hong Kong

Milano

Ulteriori informazioni

Report degli analisti

Leggi cosa dicono i più importanti analisti del settore, tra cui Gartner e IDC, su AWS

Training AWS

Risorse on demand per aiutarti a sviluppare le tue capacità

Rete di partner AWS

Entra in AWS Partner Network per investire nel cloud e potenziare la tua crescita

AWS Marketplace

Avvia un'ampia gamma di prodotti software popolari in AWS in pochi minuti

#####EOF##### AWS Amplify

AWS Amplify

Overview Components FAQs

AWS Amplify

The fastest way to build mobile and web apps that scale

Get Started

AWS Amplify makes it easy to create, configure, and implement scalable mobile and web apps powered by AWS. Amplify seamlessly provisions and manages your mobile backend and provides a simple framework to easily integrate your backend with your iOS, Android, Web, and React Native frontends. Amplify also automates the application release process of both your frontend and backend allowing you to deliver features faster.

Mobile applications require cloud services for actions that canât be done directly on the device, such as offline data synchronization, storage, or data sharing across multiple users. You often have to configure, set up, and manage multiple services to power the backend. You also have to integrate each of those services into your application by writing multiple lines of code. However, as the number of application features grow, your code and release process becomes more complex and managing the backend requires more time.

Amplify provisions and manages backends for your mobile applications. You just select the capabilities you need such as authentication, analytics, or offline data sync and Amplify will automatically provision and manage the AWS service that powers each of the capabilities. You can then integrate those capabilities into your application through the Amplify libraries and UI components.

Easy to use

AWS Amplify is the fastest and easiest way to build mobile applications on AWS. Amplify allows you quickly set up authentication, analytics, and offline data sync for your mobile applications with a few commands and integrate them into your application with a few lines of code.

Scale with your business

AWS Amplify leverages fully managed services like AWS AppSync, AWS Lambda, and others so you don't need to provision or manage any infrastructure. Your application backend services scale as needed, and you only pay for
what you use.

Better customer engagement

AWS Amplify allows you to easily build engaging and interactive experiences for your customers. You can create voice and text interfaces powered by Amazon Lex, add virtual reality scenes created with Amazon Sumerian, or target your users with push notifications with just a few lines of code.

Amplify Framework

The Amplify Framework provides a set of libraries, UI components, and a command line interface to build a mobile backend and integrate with your iOS, Android, Web, and React Native apps. The Amplify CLI allows you to configure all the services needed to power your backend through a simple command line interface. The Amplify library makes it easy to integrate your code with your backend using declarative interfaces and simple UI components.

Get Started

Cloud Services

Amplify leverages a core set of AWS services organized into categoriesâincluding offline data, authentication, analytics, push notifications, bots, and AR/VR.

Data

Query, store, and sync application data in real-time with features such as online and offline data access, data manipulation across multiple data sources, and GraphQL support.

Learn more >>

Authentication

Add user sign-up, sign-in, and access control to mobile and web applications.

Learn more >>

Analytics

Drop-in analytics to track user sessions, attributes, and in-app metrics

Notifications

Integrate tailored push notifications with analytics and targeting built-in.

Bots

Create conversational interfaces using voice and text powered by deep learning.

Storage

Manage user content securely in the cloud or on the device.

API

Make HTTP requests using REST and GraphQL easily and securely.

AR & VR

Integrate virtual reality (VR), augmented reality (AR), and 3D scenes easily.

Developer Tools

AWS Amplify fully automates mobile application tests. You can also streamline the deployments for your web app and backend resources using the Amplify Console. This allows you to quickly and easily test each code change and catch bugs while they are small and simple to fix. With Amplify, you can quickly iterate on feedback and get new features to your users faster.

Amplify Console

The AWS Amplify Console is a continuous delivery and hosting service for mobile web applications. Modern mobile web applications are constructed as single page web applications which package all application components into static files. The AWS Amplify Console makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of simultaneously updating the frontend and backend of your applications.

Get Started

Device Farm

AWS Device Farm is a full managed testing service for your iOS and Android applications. You can perform automated tests against a large collection of physical devices in the AWS Cloud. Or, you can perform manual tests by interacting with devices in real time, directly from your web browser.

Get Started

#####EOF##### AWS Console - Signup

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Enlightenment Now: The Case for Reason, Science, Humanism, and Progress: A Manifesto for Science, Reason, Humanism, and Progress
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Weitere Informationen

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Amazon Music Streamen Sie Millionen von Songs	AbeBooks BÃ¼cher, Kunst & Sammelobjekte	Amazon Web Services Cloud Computing Dienste von Amazon	Audible HÃ¶rbÃ¼cher herunterladen	Book Depository BÃ¼cher mit kostenfreier Lieferung weltweit

IMDb Filme, TV & Stars	Kindle Direct Publishing Ihr E-Book verÃ¶ffentlichen	Prime Now 1-Stunden-Lieferung Tausender Produkte	Shopbop Designer Modemarken	Warehouse Deals Reduzierte B-Ware

Souq.com Online einkaufen im Nahen Osten	ZVAB Zentrales Verzeichnis Antiquarischer BÃ¼cher und mehr	Amazon Business Kauf auf Rechnung. PO-Nummern. FÃ¼r Unternehmen.	Amazon Second Chance Geben Sie es weiter, tauschen Sie es ein, geben Sie ihm ein zweites Leben

#####EOF##### Amazon Web Services (AWS) - Cloud Computing Services

Amazon Lightsail

Everything you need to get started on AWSâfor a low, predictable price

Amazon DynamoDB

Fully managed nonrelational database for any scale

Serverless Application Development

Find tools for testing, deploying, and monitoring serverless applications

110,000+ Databases Migrated to AWS

Save time & costâmigrate to fully managed databases

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Analytics

Amazon AthenaQuery data in S3 using SQL

Amazon CloudSearchManaged search service

Amazon EMRHosted Hadoop framework

Amazon Elasticsearch ServiceRun and scale Elasticsearch clusters

Amazon KinesisAnalyze real-time video and data streams

Amazon Managed Streaming for KafkaFully managed Apache Kafka service

Amazon RedshiftFast, simple, cost-effective data warehousing

Amazon QuicksightFast business analytics service

AWS Data PipelineOrchestration service for periodic, data-driven workflows

AWS GluePrepare and load data

AWS Lake FormationBuild a secure data lake in days

Application Integration

AWS Step FunctionsCoordination for distributed applications

Amazon MQManaged message broker for ActiveMQ

Amazon Simple Notification Service (SNS)Managed message topics for pub/sub

Amazon Simple Queue Service (SQS) Managed message queues

AWS AppSyncBuild data-driven apps with real-time and offline capabilities

AR & VR

Amazon SumerianBuild and run VR and AR applications

AWS Cost Management

AWS Cost ExplorerAnalyze your AWS cost and usage

AWS BudgetsSet custom cost and usage budgets

AWS Cost and Usage ReportAccess comprehensive cost and usage information

Reserved Instance ReportingDive deeper into your reserved instances (RIs)

Blockchain

Amazon Managed BlockchainCreate and manage scalable blockchain networks

Amazon Quantum Ledger Database (QLDB)Fully managed ledger database

Business Applications

Alexa for BusinessEmpower your organization with Alexa

Amazon ChimeFrustration-free meetings, video calls, and chat

Amazon WorkMailSecure email and calendaring

Compute

Amazon EC2Virtual servers in the cloud

Amazon EC2 Auto ScalingScale compute capacity to meet demand

Amazon Elastic Container RegistryStore and retrieve docker images

Amazon Elastic Container ServiceRun and manage docker containers

Amazon Elastic Container Service for KubernetesRun managed Kubernetes on AWS

Amazon LightsailLaunch and manage virtual private servers

AWS BatchRun batch jobs at any scale

AWS Elastic BeanstalkRun and manage web apps

AWS FargateRun containers without managing servers or clusters

AWS LambdaRun code without thinking about servers

AWS OutpostsRun AWS infrastructure on-premises

AWS Serverless Application RepositoryDiscover, deploy, and publish serverless applications

VMware Cloud on AWSBuild a hybrid cloud without custom hardware

Customer Engagement

Amazon ConnectCloud-based contact center service

Amazon PinpointPersonalized user engagement across channels

Amazon Simple Email Service (SES)Email sending and receiving

Database

Amazon AuroraHigh performance managed relational database

Amazon DynamoDBManaged NoSQL database

Amazon DocumentDB (with MongoDB compatibility)Fully managed document database

Amazon ElastiCacheIn-memory caching system

Amazon Neptune Fully managed graph database service

Amazon Quantum Ledger Database (QLDB)Fully managed ledger database

Amazon RDSManaged relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB

Amazon RDS on VMwareAutomate on-premises database management

Amazon RedshiftFast, simple, cost-effective data warehousing

Amazon TimestreamFully managed time series database

AWS Database Migration ServiceMigrate databases with minimal downtime

Developer Tools

AWS CodeStarDevelop and deploy AWS applications

Amazon CorrettoProduction-ready distribution of OpenJDK

AWS Cloud9Write, run, and debug code on a cloud IDE

AWS CodeBuildBuild and test code

AWS CodeCommitStore code in private Git repositories

AWS CodeDeployAutomate code deployment

AWS CodePipelineRelease software using continuous delivery

AWS Command Line InterfaceUnified tool to manage AWS services

AWS Tools and SDKsTools and SDKs for AWS

AWS X-RayAnalyze and debug your applications

End User Computing

Amazon AppStream 2.0Stream desktop applications securely to a browser

Amazon WorkDocsSecure enterprise document storage and sharing

Amazon WorkLinkEnable mobile access to internal websites

Amazon WorkSpacesVirtual desktops in the cloud

Game Tech

Amazon GameLiftSimple, fast, cost-effective dedicated game server hosting

Amazon LumberyardA free cross-platform 3D game engine, with Full Source, integrated with AWS and Twitch

Internet of Things

AWS IoT CoreConnect devices to the cloud

Amazon FreeRTOSIoT operating system for microcontrollers

AWS GreengrassLocal compute, messaging, and sync for devices

AWS IoT 1-ClickOne click creation of an AWS Lambda trigger

AWS IoT AnalyticsAnalytics for IoT devices

AWS IoT ButtonCloud programmable dash button

AWS IoT Device DefenderSecurity management for IoT devices

AWS IoT Device ManagementOnboard, organize, and remotely manage IoT devices

AWS IoT EventsIoT event detection and response

AWS IoT SiteWiseIoT data collector and interpreter

AWS IoT Things GraphEasily connect devices and web services

AWS Partner Device CatalogCurated catalog of AWS-compatible IoT hardware

Machine Learning

Amazon SageMakerBuild, train, and deploy machine learning models at scale

Amazon ComprehendDiscover insights and relationships in text

Amazon Elastic InferenceDeep learning inference acceleration

Amazon ForecastIncrease forecast accuracy using machine learning

Amazon LexBuild voice and text chatbots

Amazon PersonalizeBuild real-time recommendations into your applications

Amazon PollyTurn text into life-like speech

Amazon RekognitionAnalyze image and video

Amazon SageMaker Ground TruthBuild accurate ML training datasets

Amazon TextractExtract text and data from documents

Amazon TranslateNatural and fluent language translation

Amazon TranscribeAutomatic speech recognition

AWS Deep Learning AMIsDeep learning on Amazon EC2

AWS Deep Learning ContainersDocker images for deep learning

AWS DeepLensDeep learning enabled video camera

AWS DeepRacerAutonomous 1/18th scale race car, driven by ML

AWS InferentiaMachine learning inference chip

Apache MXNet on AWSScalable, open-source deep learning framework

TensorFlow on AWSOpen-source machine intelligence library

Management & Governance

Amazon CloudWatchMonitor resources and applications

AWS Auto ScalingScale multiple resources to meet demand

AWS CloudFormationCreate and manage resources with templates

AWS CloudTrailTrack user activity and API usage

AWS Command Line InterfaceUnified tool to manage AWS services

AWS ConfigTrack resources inventory and changes

AWS Control TowerSet-up and govern a secure, compliant multi-account environment

AWS Console Mobile ApplicationAccess resources on the go

AWS License ManagerTrack, manage, and control licenses

AWS Management ConsoleWeb-based user interface

AWS Managed ServicesInfrastructure operations management for AWS

AWS OpsWorksAutomate operations with Chef and Puppet

AWS OrganizationsCentral governance and management across AWS accounts

AWS Personal Health DashboardPersonalized view of AWS service health

AWS Service CatalogCreate and use standardized products

AWS Systems ManagerGain operational insights and take action

AWS Trusted AdvisorOptimize performance and security

AWS Well-Architected ToolReview and improve your workloads

Media Services

Amazon Elastic TranscoderEasy-to-use scalable media transcoding

Amazon Kinesis Video StreamsProcess and analyze video streams

AWS Elemental MediaConnectReliable and secure live video transport

AWS Elemental MediaConvertConvert file-based video content

AWS Elemental MediaLiveConvert live video content

AWS Elemental MediaPackageVideo origination and packaging

AWS Elemental MediaStoreMedia storage and simple http origin

AWS Elemental MediaTailorVideo personalization and monetization

Migration & Transfer

AWS Migration HubTrack migrations from a single place

AWS Application Discovery ServiceDiscover on-premises applications to streamline migration

AWS Database Migration ServiceMigrate databases with minimal downtime

AWS DataSyncSimple, fast, online data transfer

AWS Server Migration Service Migrate on-premises servers to AWS

AWS Snow FamilyPhysical devices to migrate data into and out of AWS

AWS Transfer for SFTPFully managed SFTP service

Mobile

AWS AmplifyBuild and deploy mobile and web applications

Amazon API GatewayBuild, deploy, and manage API's

Amazon PinpointPersonalized user engagement across channels

AWS AppSyncBuild data-driven apps with real-time and offline capabilities

AWS Device FarmTest Android, iOS, and web apps on real devices in the AWS cloud

Networking & Content Delivery

Amazon VPCIsolated cloud resources

Amazon API GatewayBuild, deploy, and manage APIs

Amazon CloudFrontGlobal content delivery network

Amazon Route 53Scalable domain name system (DNS)

AWS PrivateLinkSecurely access services hosted on AWS

AWS App MeshMonitor and control microservices

AWS Cloud MapService discovery for cloud resources

AWS Direct ConnectDedicated network connection to AWS

AWS Global AcceleratorImprove application availability and performance

AWS Transit GatewayEasily scale VPC and account connections

Elastic Load Balancing (ELB)Distribute incoming traffic across multiple targets

Robotics

AWS RoboMakerDevelop, test, and deploy robotics applications

Satellite

AWS Ground StationFully managed ground station as a service

Security, Identity & Compliance

AWS Identity and Access Management (IAM)Manage user access and encryption keys

Amazon Cloud DirectoryCreate flexible cloud-native directories

Amazon CognitoIdentity management for your apps

Amazon GuardDutyManaged threat detection service

Amazon InspectorAnalyze application security

Amazon MacieDiscover, classify, and protect your data

AWS ArtifactOn-demand access to AWS' compliance reports

AWS Certificate ManagerProvision, manage, and deploy SSL/TLS certificates

AWS CloudHSMHardware-based key storage for regulatory compliance

AWS Directory ServiceHost and manage active directory

AWS Firewall ManagerCentral management of firewall rules

AWS Key Management ServiceManaged creation and control of encryption keys

AWS Secrets ManagerRotate, manage, and retrieve secrets

AWS Security HubUnified security and compliance center

AWS ShieldDDoS protection

AWS Single Sign-OnCloud single sign-on (SSO) service

AWS WAFFilter malicious web traffic

Storage

Amazon Simple Storage Service (S3)Scalable storage in the cloud

Amazon Elastic Block Store (EBS)EC2 block storage volumes

Amazon Elastic File System (EFS)Fully managed file system for EC2

Amazon FSx for LustreFully managed compute-intensive file system

Amazon FSx for Windows File ServerFully managed Windows native file system

Amazon S3 GlacierLow-cost archive storage in the cloud

AWS BackupCentralized backup across AWS services

AWS Snow FamilyPhysical devices to migrate data into and out of AWS

AWS Storage GatewayHybrid storage integration

See All Products

Powering Customer Innovation

Enterprise Transformation
Predictive Analytics
Machine Learning
SERVERLESS
Gaming
ENTERPRISE APPLICATIONS

Enterprise Transformation
Capital One Reimagines Banking Using AWS

Learn how Capital One implemented its cloud-first strategy through education, long-term planning, and constant focus on customer needs.
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Focusing on Customers

In 2014, Capital One had a fledgling private cloud capability and was also experimenting with AWS. In an effort to build the features its customers wanted as quickly as possible, the company chose to pursue AWS.

Doing the Hard Part First

Security and compliance are critical to Capital One as a financial institution. To address these needs, Capital One built a cloud-risk framework and established a cloud-governance function before moving a single workload to AWS.

Education: Key to the Cloud

Capital One offers a cloud training program to engineers who work directly on AWS as well as non-technical stakeholders who need to be able to advocate for the power of cloud computing. The company now ranks in the top three of all enterprises globally for AWS certifications held by employees.

Realizing the Benefits of the Cloud

Using AWS, Capital One brings new products to market in weeks instead of months or years, uses machine learning to improve customer experience, and attracts top developers and engineersâall of which help the company achieve its most important goal: creating great experiences for its customers.
Predictive Analytics
Formula One Group Uses Amazon SageMaker to Optimize Racing

Learn how Formula 1 uses Amazon SageMaker and other AWS services to optimize racing decisions and improve fan experience.

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Beginning a Transformation

Formula One Group is moving most of its infrastructure from on-premises data centers to AWS and standardizing on AWS machine-learning servicesâincluding Amazon SageMaker.

Optimizing Racing with Machine Learning

Using historical race data collected from cars over the past 65 years, Formula 1 data scientists are training deep-learning models that make race predictions and help teams optimize mid-race decisions. The models can predict when teams should pit their cars, determine the best timing for changing tires, and evaluate how drivers are performing.

Bringing Fans onto the Track

Formula 1 then uses AWS data streaming, analytics, and media services to deliver insights about driver decisions and car performance to its more than 500 million fans.

Building for the Future

Because Formula 1 runs its high-performance computing workloads in a scalable environment on AWS, the organization can innovate on the Formula 1 racing experience, car design, and more without worrying about capacity.
Machine Learning
MLB Chooses AWS as Official Machine Learning Provider

Learn How Americaâs Professional Baseball League Brings Meaning to Statistics Using AWS Machine Learning
Learn More

A Foundation for Deep Learning

MLB has been collecting statistical data on its players and clubs for decades, and in 2015 it started using AWS to collect and distribute game-day stats to enhance the fan experience.

Empowering Developers

By using Amazon Sagemaker, MLB is empowering its developers and data scientists to quickly and easily build, train, and deploy machine-learning models at scale.

Lightening the Load

These models help MLB eliminate manual, time-intensive processes associated with recordkeeping and statistics, like scorekeeping, capturing game notes, and classifying pitches.

Personalizing the Game

MLB plans to work with the Amazon ML Solutions Lab to continue improving Statcastâits tracking technology that analyzes player performanceâincluding testing accuracy of pitch predictions and creating personalized viewer experiences.

A Home Run with Artificial Intelligence

MLB will continue to innovate using artificial intelligence. The organization plans to use Amazon Comprehend to build a language model that could create scripts for live games that simulate iconic announcers.
SERVERLESS
Matson Operates Its Global Shipping and Logistics Businesses on AWS

Learn how Matson is using AWS to drive innovation and world-class customer service, while achieving operational reliability, security, and infrastructure cost savings.
Learn More

Real-Time Container Tracking

Matson built a flagship mobile application for global container tracking that allows customers to perform real-time tracking of their freight shipments. Other valuable features in the application include interactive vessel schedule searching, location-based port map lookups, and live gate-camera feeds.

Mobile Device Access

All mobile devices access AWS via Amazon API Gateway. This provides highly available edge located endpoints for access into resources within Matson's existing virtual private clouds.

Serverless Computing

The AWS Lambda functions are designed using the microservices pattern and are modeled around specific ocean-based business contexts, such as shipment tracking and vessel schedules.

Database Configuration and Storage

Amazon DynamoDB manages configuration as well as user-feedback configuration and user-feedback notifications sent from mobile devices. DynamoDB Streams provides real-time notifications to Matson's customer service team.

Data Monitoring and Alerts

Matson's customers rely on accurate, up-to-the-minute container tracking and vessel status information. Monitoring and alerting of system events is achieved by using Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda, and CloudWatch Logs.

End-to-End Serverless Application

Matson can now offer customers an end-to-end serverless application to help track their shipments, and has no infrastructure to maintain.
Gaming
Epic Games Uses AWS to Power Worldwide Game Fortnite

Learn how Epic Games uses AWS to deliver Fortnite to more than 200 million players around the world.

Learn More

Building a Foundation on the Cloud

Epic Games has been using AWS since 2012 and is now all in on the AWS Cloud, running its worldwide game-server fleet, backend platform systems, databases, websites, analytics pipeline, and processing systems on AWS.

An Overnight Sensation

In 2017, Epic Games launched Fortnite, a cross-platform, multiplayer game that became an overnight sensation. In its first year, Fortniteâs user base grew by more than 100 times to 200 million players worldwide.

Pushing the Boundaries of Scale

AWS is integral to the success of Fortnite. Using AWS, Epic Games hosts in-game events with hundreds of millions of invited users without worrying about capacity, ingests 125 million events per minute into its analytics pipeline, and handles data-warehouse growth of more than 5 PB per month.

Providing the Best Gaming Experience

Using AWS, Epic Games is always improving the experience of its players and offering new, exciting games and game elements. The company plans to expand its use of AWS services in the future, including machine learning and containerized services.
ENTERPRISE APPLICATIONS
BP Improves Effectiveness and Gains Cost Agility and Speed for Its Critical Business Apps

See how BP simplified and modernized its suite of SAP applications, improving user experience while gaining cost agility and enhanced performance.
Learn More

Managing Critical Business Apps

BP's IT organization manages SAP applications used by thousands of employees worldwide for supply chain, procurement, finance, and more.

Improving Speed & Cost Agility

To improve speed and gain cost agility, BP used Amazon EC2 to migrate these core business apps to the cloud. In addition, the team built EC2 X1 instances to increase scale and to power their real-time analytics.

Increasing Performance

The team can now stand up systems on demand in hours instead of weeks or months. BP is seeing performance increases across the board, including a 40 percent speed improvement for the Lubricants ERP system.

Securing Data

As part of its cloud migration, BP reset its security standards using AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch, and AWS Trusted Advisor. These new standards helped BP to develop a secure framework for operating its IT organization.

Find. Buy. Deploy.

AWS Marketplace is a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS.

Learn More

Explore Our Solutions

Machine Learning

Build with powerful services and platforms, and the broadest machine learning framework support anywhere.

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Analytics & Data Lakes

Securely store, categorize, and analyze all your data in one, centralized repository.

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Internet of Things

A system of ubiquitous devices connecting the physical world to the cloud.

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Serverless Computing

Build and run applications and services without thinking about servers.

Learn More

Containers

Package and deploy applications that are lightweight and provide a consistent, portable software environment for applications to easily run and scale anywhere.

Learn More

Enterprise Applications

Build with a mature set of services specifically designed for the unique security, compliance, privacy, and governance requirements of large organizations.

Learn More

Storage

Durable, cost-effective options for backup, disaster recovery, and data archiving at petabyte scale.

Learn More

Windows Workloads

Flexible, scalable compute capacity for Microsoft applications. Easily manage and secure Windows workloads.

Learn More

View All Solutions

Engineered for the Most Demanding Requirements

Secure

Comprehensive security capabilities to satisfy the most demanding requirements.

Compliant

Rich controls, auditing and broad security accreditations.

Hybrid

Build hybrid architectures that extend your on-premises infrastructure to the Cloud.

Scalable

Access as much or as little as you need, and scale up and down as required with only a few minutes notice.

Learn How Our Customers Build on AWS

View All Customer Stories

Global Network of AWS Regions

Regions & Number of Availability Zones

US East
N. Virginia (6), Ohio (3)

US West
N. California (3), Oregon (4)

Asia Pacific
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#####EOF##### Blockchain on AWS

Blockchain on AWS

Easily build scalable blockchain and ledger solutions

AWS provides the simplest way to build scalable blockchain networks and ledger applications for your business

Blockchain technologies are often used to solve two types of customer needs. In the first case, multiple parties work with a centralized, trusted authority to maintain a complete and verifiable record of transactions. An example is a retail customer looking to connect its suppliers with a centralized ledger that maintains a transparent and verifiable history of information related to the movement of a product through its supply chain. In the other case, multiple parties transact in a decentralized manner without the need for a centralized, trusted authority. An example is a consortium of banks and export houses looking to perform cross-boundary transfer of assets (e.g. letter-of-credits) amongst each other, without a centralized authority acting as a liaison.

If you need a centralized ledger that records all application data changes, and maintains an immutable record of these changes, AWS provides a ledger database. This database is high-performance, immutable, and cryptographically verifiable, eliminating the need for building complex audit tables or setting up blockchain networks. If you need the immutable and verifiable capability provided by a ledger, and also want to allow multiple parties to transact without a trusted central authority, AWS provides a fully managed, scalable blockchain service. AWSâ blockchain service makes it easy to setup, deploy, and manage scalable blockchain networks, eliminating the need for you to rely on expensive consulting implementations.

Use Cases

Track and verify transactions with centralized ownership

Manufacturers want to store data from multiple systems into a centralized ledger that accurately tracks the production and distribution lineage of their products. In case of issues manufacturers can quickly trace the root cause of defects and take preventive actions.

HR and Payroll systems often have to track and maintain a record of an employeeâs details such as payroll, bonus, benefits, and performance history. By implementing a centralized ledger, customers can easily maintain a complete record of the digital history of their employees in a single place.

Insurance: Insurance applications often need a way to better track the history of claim transactions. Instead of building complex auditing functionality using relational databases, insurance companies can use a ledger database to accurately maintain the history of claims over their entire lifetime.

Execute transactions and contracts with decentralized ownership

Trade: Trade consortiums are looking to reduce time and complexity of cross-boundary payments and asset transfers (letter of credit) by directly transacting with multiple parties such as importers, exporters, insurance, and banks in a decentralized way.

Retail: Consortium of retailers want to partner with banks and third-party loyalty programs to streamline customer reward programs without needing a central entity that processes rewards.

Banking: Syndicated loans are ones where a group of banks lend together to a single borrower. In a traditional syndicated loan, banks rely on faxes or emails to share complex information back-and-forth, which delays the process. Groups of banks are looking to execute transactions in a decentralized and trusted way to exchange information quickly and eliminate the need for an intermediary.

AWS Capabilities

Capabilities of ledgers with centralized ownership	Capabilities of blockchain networks with decentralized ownership
Centralized Central, trusted authority owns and manages the ledger, and is shared with any number of parties that are working together	Decentralized Multiple parties can transact with one another without having to know or trust each other. Each party, known as a member, owns a peer node in the network
Immutable Uses an append-only journal that stores every transaction into a block. Blocks are cryptographically-chained together in a sequence and cannot be deleted or modified by the central owner or any other entities.	Immutable Committed transactions are stored in blocks and are cryptographically-chained together and cannot be modified. Once a transaction is committed, it is replicated across all members making it impossible to change or delete.
Verifiable Uses cryptography to create a concise summary of change history. This secure summary, commonly known as a digest, can be used to cryptographically verify the lineage of the data in the ledger.	Verifiable Each member stores a local copy of the ledger and can independently verify and ensure that the contents of the ledger are accurate. To make any change, members of the network need to validate a new transaction, keeping data across all peer organizations consistent
Transparent Entire data history can be easily queried, providing a complete and transparent log of information.	Transparent All committed transactions are attributable to one or more entities, providing complete transparency to all members. In permissioned blockchain frameworks, such as Hyperledger Fabric, transparency can be configurable such that only select group of peers can access information.
Fast Ledgers with centralized trust donât require distributed consensus to execute, allowing them to easily scale up and execute transactions faster than ledgers in common blockchain frameworks.	Removes intermediaries Each peer organization can initiate a new transaction using encoded application logic. Once a transaction is initiated, it is replicated across all peers in the network, allowing multiple parties to access and validate the information. No intermediaries are needed to act as a liaison between the members, making complex transactions more efficient and less expensive.

Products

Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log âowned by a central trusted authority. Amazon QLDB tracks each and every application data change and maintains a complete and verifiable history of changes over time.

Amazon QLDB

Amazon Quantum Ledger Database (QLDB) and Amazon Managed Blockchain provide the right tool for each job. Both of these fully managed services help companies manage business transactions that require full auditability, and remove the complexity and undifferentiated heavy lifting involved in implementing and managing a ledger database or creating and managing a blockchain network.

Learn more about Amazon QLDB here.

Amazon Managed Blockchain

Amazon Managed Blockchain is a fully managed service that makes it easy to create and manage scalable blockchain networks using popular open source frameworks Hyperledger Fabric and Ethereum. Amazon Managed Blockchain eliminates the overhead required to create the network, and automatically scales to meet the demands of thousands of applications running millions of transactions. Once your network is up and running, Managed Blockchain makes it easy to manage and maintain your blockchain network. It manages your certificates, lets you easily invite new members to join the network, and tracks operational metrics such as usage of compute, memory, and storage resources

Learn more about Amazon Managed Blockchain here.

AWS Blockchain Templates

For customers who are looking to manage their own blockchain network and just need an easy way to set up and get started, AWS Blockchain templates are the right fit.

Blockchain templates provide a fast and easy way to create and deploy secure blockchain networks using popular open source frameworks. These templates enable you to focus on building your blockchain applications instead of spending time and energy on manual setup of your blockchain network. AWS Blockchain Templates deploys the blockchain framework you choose as containers on an Amazon Elastic Container Service (ECS) cluster, or directly on an EC2 instance running Docker.

Learn more about AWS Blockchain Templates here.

AWS Blockchain Partners

AWS provides the broadest and deepest capabilities and the largest global infrastructure for building end-to-end blockchain platforms, cost efficiently and at scale. APN Technology and Consulting Partners offer a rapidly growing selection of blockchain and distributed ledger solutions with support for multiple protocols.

Learn about our APN Partners building Blockchain solutions here.

Customers

Healthdirect Australia is a national, government-owned, not-for-profit organization that has been helping Australians manage their health and wellbeing for over a decade.

âHealthdirect Australia operates in a heavily regulated industry, and it is critical that our compliance data is correct and auditable. With Amazon QLDB we look forward to having a complete and verifiable history of every change in our system, making it simple to audit when and how we arrived at our current state. Regulatory compliance is fact of life for healthcare companies, and Amazon QLDB enables us to easily track the controls we have in place and understand how they have changed over time.â

Bruce Haefele - General Manager, Technology, Healthdirect Australia

The Guardian Life Insurance Company is a financial services and insurance company whose offerings include life and disability insurance, employee benefits, and dental insurance.

âGiven our vast partner ecosystem, we are exploring the decentralization and immutable tracking benefits of blockchain for potential applications in our insurance business. We believe blockchain can improve the transparency and efficiency for stakeholders in these networks to transact, while still maintaining an independently verifiable lineage of activities. However, blockchain frameworks are complex and difficult to operate. With Amazon Managed Blockchain, we can now easily create Hyperledger Fabric blockchain networks to test and learn without worrying about managing the underlying infrastructure, networking, and software configuration."

Daniel Johnson - CTO and Head of Innovation, Guardian Life Insurance Company

Smaato, one of the leading online ad exchanges in the world, sees over 20 billion bid requests/day pass through their exchange.

âAll participants in the online advertising and real time bidding market segments are interested in transparency throughout the entire lifecycle of an online ad auction, from the initial auction, to the winning bid, and ultimately through to the final impression delivery and who itâs actually shown to. Since we act as a centralized point of trust in this value chain, weâre really excited about Amazon QLDB. It offers a scalable, immutable, and cryptographically verifiable ledger that would allow us to maintain a complete and auditable record of all our auctions. Weâre looking forward to collaborating with AWS and the Amazon Quantum Ledger Database team to bring more transparency to our ecosystem.â

Ragnar Kruse - CEO, Smaato

The Depository Trust & Clearing Corporation (DTCC) provides industry-leading solutions that promote the stability and certainty of global financial markets.

âAs critical financial market infrastructure, the industry relies on us to provide innovative solutions that reduce risk, increase transparency and evolve with market and regulatory needs. We believe that blockchain technology represents a generational opportunity to re-imagine post-trade infrastructure. We are pleased to be using Amazon Managed Blockchain to explore possibilities with Hyperledger Fabric, where we can continue to lead industry initiatives around the exploration and adoption of Blockchain. Amazon Managed Blockchain automates the deployment of blockchain infrastructure, bringing high availability and durability in a fully managed package, accelerating the adoption of distributed ledger technology.â

Rob Palatnick - Managing Director, Chief Technology Architect, DTCC.

#####EOF##### JavaScript | Tutorials, APIs, SDKs, Docs | AWS Developer CenterJavaScript | Tutorials, APIs, SDKs, Docs | AWS Developer Center

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#####EOF##### AWS Marketplace: Homepage

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#####EOF##### Amazon.com : Travalo Classic Refillable Perfume Spray, Silver : Refillable Cosmetic Containers : Beauty

Currently unavailable.
We don't know when or if this item will be back in stock.

Travalo Classic Refillable Perfume Spray, Silver

by Travalo

154 customer reviews

| 10 answered questions

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About the product

Available in 8 Hot Colors
Simply pump to fill! Refills in seconds directly from a standard perfume bottle
Tsa-approved for carry-on luggage

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Product description

Color:Silver

The days of carrying around heavy, glass perfume bottles are long gone. With the Travalo Classic Refillable Fragrance Atomizer, you can take your perfume and cologne anywhere you go- in your purse, pocket or backpack. One of travel retail's most striking stories in recent years!

Product details

Color: Silver

Product Dimensions: 5 x 1.5 x 0.7 inches ; 0.16 ounces
Shipping Weight: 0.8 ounces
ASIN: B0091JL3IO
UPC: 817016010486
Item model number: Classic-Silver-VE
Average Customer Review: 154 customer reviews
Amazon Best Sellers Rank: #217,009 in Beauty & Personal Care (See Top 100 in Beauty & Personal Care)
- #2813 in Refillable Cosmetic Containers

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Safety Warning

Please read all label information on delivery.

Directions

Remove the spray head from your perfume bottle.Place your Travalo upright on top of the nozzle pegSimply pump it up and down to fill.Keep pumping until the fragrance level reaches the top of the window.Do not overfill

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Brad

leaks

February 11, 2014

Color: SilverVerified Purchase

This worked very well when I first picked up it, but then after a month or two, it began leaking at the top. I use CK-1 inside (that shouldn't matter but what the heck). Now it just sits in my medicine cabinet.

17 people found this helpful

Helpful

Comment

Jordan Manuel

Small, easy to use

January 2, 2019

Color: SilverVerified Purchase

I've actually had to buy these more than once because I keep misplacing them.

So you can put your cologne/perfume in these little guys and depending on how much you use, these will last a good week if you're conservative. I travel a lot so I use these a lot and they've never leaked on me. However, if you leave them in the heat your cologne will evaporate. Keep that in mind.

One person found this helpful

Helpful

Comment

Maria M.

Happiness in a Little Package

June 26, 2017

Color: SilverVerified Purchase

This is better than the original bottle my perfume came in. It took me a minute to figure out how to fill it: you take the directional spray cap off the original bottle, fit the original bottle's male end into the female receptacle at the bottom of the travel atomizer, then press down to squirt the perfume into the travel bottle. VoilÃ , no mess! Even better, the travel atomizer sprays out a fine, consistent mist. Hopefully, I'll remember these at Christmas--they'd make great stocking stuffers.

2 people found this helpful

Helpful

Comment

Joseph Patton

Im an airline pilot and travel a million miles a ...

March 27, 2018

Color: SilverVerified Purchase

Im an airline pilot and travel a million miles a year, literally. I've tried numerous ways to put cologne into smaller containers, and this is the first one that works. I've since purchased 5 more. Everything about this item works and performs as desired.

2 people found this helpful

Helpful

Comment

Donna D.

I've been pleased with the Travalo for decanting spray fragrances that have ...

June 17, 2017

Color: SilverVerified Purchase

I have a spray fragrance from Italy (Bruno Acampora) and the Travalo "female" end does not fit over the "male" tube that feeds the juice into the atomizer. Since this is the fragrance that I wanted to decant into the Travalo, I'm dissatisfied. However, I've been pleased with the Travalo for decanting spray fragrances that have a standard exit apparatus.

2 people found this helpful

Helpful

Comment

Syndrigasti

Close to original

September 10, 2018

Color: SilverVerified Purchase

I'm still skeptical about the authenticity of this product. Though, it seems to have a lot of common features of my original one. I haven't used this one yet. I can only judge it by the way it looks.

The purple one's the one I bought from Travalo's physical store.

Differences:
- The purple one has a "5 ml" mark on the nozzle while the one I bought here has "MAX"
- Travalo logo (the purple one has the old Travalo logo while the silver one has the latest logo)
- The purple one only has 1 clear tube inside the spray bottle while the silver one has 2

One person found this helpful

Helpful

Comment

Good but has some flaws

June 26, 2018

Color: SilverVerified Purchase

Pro:
Simple and easy way to store fragrance, without removing the nozzle on the original bottle, to last for weeks.

Con:
The hard, clear plastic exterior pieces detached easily since it isnât a screw top, which would make the container otherwise more useful in protecting the Travalo. If the seller reads this review, please consider redesigning the outer container to have a screw-top.

My fragrance completely disappeared after postponed usage of the Travalo; this, unfortunately, wasted my fragrance. I presume there is a undetermined leakage of some sort.

One person found this helpful

Helpful

Comment

ALAZ

Although a WONDERFUL idea, it does not work as well as it should.

May 2, 2017

Color: SilverVerified Purchase

Although a WONDERFUL idea, it does not work as well as it should. I tried 3 different bottles of perfume before i could make it work. With the one that it finally worked, it works great but not sure why it did not work with the other bottles of perfume. Unfortunately, it did not work with my favorite perfume.

One person found this helpful

Helpful

Comment

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AWS Auto Scalingììì ë§ì¶° ì¬ë¬ ë¦¬ìì¤ì ê·ëª¨ ì¡°ì

AWS Configë¦¬ìì¤ ì¸ë²¤í ë¦¬ ë° ë³ê²½ ì¶ì

AWS Control Towerìì íê³ ê·ì ì ì¤ìíë ë¤ì¤ ê³ì íê²½ì ì¤ì ë° ê´ë¦¬

AWS License Managerë¼ì´ì ì¤ ì¶ì , ê´ë¦¬ ë° ì ì´

AWS Managed ServicesAWSì ì¸íë¼ ì´ì ê´ë¦¬

AWS Personal Health DashboardAWS ìë¹ì¤ ìíì ëí ë§ì¶¤í ë³´ê¸°

AWS Systems Managerì´ì íµì°°ë ¥ íë³´ ë° ì¡°ì¹ ìí

AWS Trusted Advisorì±ë¥ ë° ë³´ì ìµì í

AWS Well-Architected Toolìí¬ë¡ëë¥¼ ê²í ë° ê°ì

ë¯¸ëì´ ìë¹ì¤

Amazon Kinesis Video Streamsë¹ëì¤ ì¤í¸ë¦¼ ì²ë¦¬ ë° ë¶ì

AWS Elemental MediaConnectìì ì ì´ê³ ìì í ë¼ì´ë¸ ë¹ëì¤ ì ì¡

AWS Elemental MediaConvertíì¼ ê¸°ë° ë¹ëì¤ ì½íì¸ ë¥¼ ë³í

AWS Elemental MediaLiveë¼ì´ë¸ ë¹ëì¤ ì½íì¸ ë¥¼ ë³í

AWS Elemental MediaPackageë¹ëì¤ ì¤ë¦¬ì§ë¤ì´ì ë° í¨í¤ì§

AWS Elemental MediaStoreë¯¸ëì´ ì¤í ë¦¬ì§ ë° ê°ë¨í HTTP ì¤ë¦¬ì§

AWS Elemental MediaTailorë¹ëì¤ ê°ì¸í ë° ììµí

ë§ì´ê·¸ë ì´ì ë° ì ì¡

AWS Migration Hubí ê³³ìì ë§ì´ê·¸ë ì´ìì ì¶ì

AWS Application Discovery Serviceì¨íë ë¯¸ì¤ ì íë¦¬ì¼ì´ìì ê²ìíì¬ ë§ì´ê·¸ë ì´ìì ê°ìí

AWS Database Migration Serviceìµìíì ê°ë ì¤ë¨ì¼ë¡ ë°ì´í°ë² ì´ì¤ ë§ì´ê·¸ë ì´ì

AWS DataSyncê°ë¨íê³ ë¹ ë¥¸ ì¨ë¼ì¸ ë°ì´í° ì ì¡

AWS Server Migration Service ì¨íë ë¯¸ì¤ ìë²ë¥¼ AWSë¡ ë§ì´ê·¸ë ì´ì

AWS Transfer for SFTPìì ê´ë¦¬í SFTP ìë¹ì¤

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Amazon API GatewayAPI ë¹ë, ë°°í¬ ë° ê´ë¦¬

AWS Device Farmì¤ì ëë°ì´ì¤ë¡ AWS í´ë¼ì°ëìì Android, iOS ë° ì¹ ì±ì íì¤í¸

ë¤í¸ìí¹ ë° ì½íì¸ ì ì¡

Amazon API GatewayAPI ë¹ë, ë°°í¬ ë° ê´ë¦¬

Amazon CloudFrontê¸ë¡ë² ì½íì¸ ì ì¡ ë¤í¸ìí¬

Amazon Route 53íì¥ ê°ë¥í Domain Name System(DNS)

Amazon VPC PrivateLinkAWSì í¸ì¤íë ìë¹ì¤ì ìì íê² ì¡ì¸ì¤

AWS App Meshë§ì´í¬ë¡ìë¹ì¤ ëª¨ëí°ë§ ë° ì ì´

AWS Cloud Mapí´ë¼ì°ë ë¦¬ìì¤ë¥¼ ìí ìë¹ì¤ ê²ì

AWS Transit GatewayVPC ë° ê³ì ì°ê²°ì ìì½ê² íì¥

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AWS Ground Stationìë¹ì¤ë¡ìì ìì ê´ë¦¬í ê·¸ë¼ì´ë ì¤íì´ì

Amazon Cloud Directoryì ì°í í´ë¼ì°ë ë¤ì´í°ë¸ ëë í°ë¦¬ ìì±

Amazon GuardDutyê´ë¦¬í ìí íì§ ìë¹ì¤

Amazon Inspectorì íë¦¬ì¼ì´ì ë³´ì ë¶ì

Amazon Macieë°ì´í°ë¥¼ ê²ì, ë¶ë¥ ë° ë³´í¸

AWS ArtifactAWSì ê·ì ì¤ì ë³´ê³ ìì ëí ì¨ëë§¨ë ì¡ì¸ì¤

AWS Certificate ManagerSSL/TLS ì¸ì¦ì íë¡ë¹ì ë, ê´ë¦¬ ë° ë°°í¬

AWS CloudHSMê·ì ì¤ìë¥¼ ìí íëì¨ì´ ê¸°ë° í¤ ì¤í ë¦¬ì§

AWS Directory ServiceActive Directory í¸ì¤í ë° ê´ë¦¬

AWS Key Management Serviceìí¸í í¤ì ì ì´ ë° ìì± ê´ë¦¬

AWS Organizationsì¬ë¬ AWS ê³ì ì ì ì± ê¸°ë°ì¼ë¡ ê´ë¦¬

AWS Secrets Managerë³´ì ì ë³´ë¥¼ êµì²´, ê´ë¦¬ ë° ê²ì

AWS ShieldDDoS ë³´í¸

AWS Single Sign-Oní´ë¼ì°ë SSO(Single Sign On) ìë¹ì¤

AWS WAFìì± ì¹ í¸ëí½ íí°ë§

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Amazon Simple Storage Service(S3)í´ë¼ì°ëììì íì¥ ê°ë¥í ì¤í ë¦¬ì§

Amazon Elastic Block Store(EBS)EC2 ë¸ë¡ ì¤í ë¦¬ì§ ë³¼ë¥¨

Amazon Elastic File System(EFS)EC2ë¥¼ ìí ìì ê´ë¦¬í íì¼ ìì¤í

Amazon FSx for Lustreìì ê´ë¦¬í ì»´í¨í ì§ì½ì íì¼ ìì¤í

Amazon FSx for Windows File Serverìì ê´ë¦¬í Windows ë¤ì´í°ë¸ íì¼ ìì¤í

Amazon S3 Glacierí´ë¼ì°ëìì ì ë ´í ìì¹´ì´ë¸ ì¤í ë¦¬ì§

AWS BackupAWS ìë¹ì¤ ì ì²´ì ê±¸ì³ ì¤ì ì§ì¤ì ë°±ì

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ê³ ê° íì ì§ì

ìí°íë¼ì´ì¦ ë³í
ìì¸¡ ë¶ì
ê¸°ê³ íìµ
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ìí°íë¼ì´ì¦ ì íë¦¬ì¼ì´ì

ìí°íë¼ì´ì¦ ë³í
AWSë¥¼ ì¬ì©íì¬ ë±í¹ì ì¬ì°½ì¡°íë Capital One

Capital Oneì´ ì´ë»ê² êµì¡, ì¥ê¸° ê³í, ê³ ê° ìêµ¬ì ëí ëììë ì§ì¤ì íµí´ í´ë¼ì°ë ì°ì ì ëµì êµ¬ííëì§ ììë³´ììì¤.
ìì¸í ììë³´ê¸°

ê³ ê°ì ì§ì¤

2014ëì Capital Oneì ì´ì ë§ íë¼ì´ë¹ í´ë¼ì°ë ê¸°ë¥ì ì¬ì©íê¸° ììíë©´ì AWSë ì¤íí´ ë³´ë ë¨ê³ììµëë¤. ì´ íì¬ë ê³ ê°ì´ ìíë ê¸°ë¥ì ìµëí ë¹¨ë¦¬ êµ¬ì¶íê¸° ìí´ AWSë¥¼ ì ííìµëë¤.

ì´ë ¤ì´ ë¬¸ì ë¨¼ì í´ê²°

ê¸ìµ ê¸°ê´ì¸ Capital Oneì ë³´ìê³¼ ê·ì ì¤ìë ë§¤ì° ì¤ìí©ëë¤. ì´ë¬í ìêµ¬ ì¬íì í´ê²°íê¸° ìí´ Capital Oneì AWSë¡ ìí¬ë¡ëë¥¼ ì´ì íê¸° ì ì í´ë¼ì°ë ìí íë ììí¬ë¥¼ êµ¬ì¶íê³ í´ë¼ì°ë ê±°ë²ëì¤ ê¸°ë¥ì êµ¬ííìµëë¤.

êµì¡: í´ë¼ì°ëì íµì¬

Capital Oneì AWSì ì§ì ììì ìííë ìì§ëì´ì í´ë¼ì°ë ì»´í¨íì íì ì¹í¸í ì ìì´ì¼ íë ë¹ê¸°ì ì´í´ê´ê³ìë¥¼ ìí í´ë¼ì°ë êµì¡ íë¡ê·¸ë¨ì ì ê³µí©ëë¤. ì´ íì¬ë íì¬ ì ì¸ê³ìì ì§ìë¤ì´ AWS ìê²©ì¦ì ê°ì¥ ë§ì´ ì·¨ëí ìí°íë¼ì´ì¦ 3ìì ì¬ë¼ ììµëë¤.

í´ë¼ì°ëì ì´ì ì¤í

AWSë¥¼ íµí´ Capital Oneì ìë¡ì´ ì íì ëª ë¬ ëë ëª ëì´ ìëë¼ ëª ì£¼ ë§ì ìì¥ì ì¶ìíê³ , ê¸°ê³ íìµì ì¬ì©íì¬ ê³ ê° ê²½íì ê°ì íê³ , ìµê³ ì ê°ë°ìì ìì§ëì´ë¥¼ ì ì¹í©ëë¤. ì´ ëª¨ë ê²ì´ íì¬ê° ê°ì¥ ì¤ìí ëª©íì¸ ê³ ê°ì ìí íìí ê²½íì ì°½ì¶íë ë° ëìì´ ë©ëë¤.
ìì¸¡ ë¶ì
Formula One Groupìì Amazon SageMakerë¥¼ ì¬ì©íì¬ ë ì´ì¤ë¥¼ ìµì í

Formula 1ìì ì´ë»ê² Amazon SageMakerì ë¤ë¥¸ AWS ìë¹ì¤ë¥¼ ì¬ì©íì¬ ë ì´ì¤ ìì¬ ê²°ì ì ìµì ííê³ í¬ ê²½íì ê°ì íëì§ ììë³´ììì¤.

ìì¸í ììë³´ê¸°

ë³í ìì

Formula One Groupì ì¸íë¼ ëë¶ë¶ì ì¨íë ë¯¸ì¤ ë°ì´í° ì¼í°ìì AWSë¡ ì´ì íê³ Amazon SageMakerë¥¼ ë¹ë¡¯í AWS ê¸°ê³ íìµ ìë¹ì¤ìì ì´ë¥¼ íì¤ííê³ ììµëë¤.

ê¸°ê³ íìµì¼ë¡ ë ì´ì¤ ìµì í

Formula 1 ë°ì´í° ê³¼íìë¤ì ì§ë 65ëê° ì°¨ëìì ìì§ë ë ì´ì¤ ê¸°ë¡ ë°ì´í°ë¥¼ ì¬ì©íì¬ ë ì´ì¤ë¥¼ ìì¸¡íê³ íì´ ë ì´ì¤ ëì¤ ìì¬ ê²°ì ì ìµì ííë ë° ëìì´ ëë ë¥ ë¬ë ëª¨ë¸ì êµì¡íê³ ììµëë¤. ì´ ëª¨ë¸ì íì´ ì°¨ëì í¼í¸ë¡ ë¶ë ¤ì¼ í ìì ì ìì¸¡íê³ , íì´ì´ êµì²´ë¥¼ ìí ìµì ì íì´ë°ì ê²°ì íê³ , ëë¼ì´ë²ì ìíë¥¼ íê°í ì ììµëë¤.

í¸ë ì ë³´ë¥¼ í¬ìê² ê³µì

Formula 1ì AWS ë°ì´í° ì¤í¸ë¦¬ë°, ë¶ì ë° ë¯¸ëì´ ìë¹ì¤ë¥¼ ì¬ì©íì¬ 5ìµ ëªì´ ëë í¬ìê² ì´ì ì ìì¬ ê²°ì ê³¼ ì°¨ë ì±ë¥ì ëí íµì°°ë ¥ì ì ê³µí©ëë¤.

ë¯¸ëë¥¼ ìí êµ¬ì¶

Formula 1ì´ AWSì íì¥ ê°ë¥í íê²½ìì ê³ ì±ë¥ ì»´í¨í ìí¬ë¡ëë¥¼ ì¤ííë¯ë¡ ì©ëì ëí ê±±ì ìì´ Formula 1 ë ì´ì± ê²½í, ì°¨ë ëìì¸ ë±ì íì í ì ììµëë¤.
ê¸°ê³ íìµ
MLBìì AWSë¥¼ ê³µì ê¸°ê³ íìµ ê³µê¸ìë¡ ì ì

ë¯¸êµì íë¡ì¼êµ¬ ë¦¬ê·¸ìì ì´ë»ê² AWS Machine Learningì ì¬ì©íì¬ íµê³ì ìë¯¸ë¥¼ ë¶ì¬íëì§ ììë³´ììì¤
ìì¸í ììë³´ê¸°

ë¥ ë¬ëì ìí ê¸°ë°

MLBë ìì ë ëì ì ìì ëí íµê³ ë°ì´í°ë¥¼ ìì§í´ìì¼ë©° 2015ëì AWSë¥¼ ì¬ì©íì¬ ê²½ê¸° íµê³ë¥¼ ìì§ ë° ë°°í¬íì¬ í¬ ê²½íì í¥ìíê¸° ììíìµëë¤.

ê°ë°ì ì§ì

MLBë Amazon Sagemakerë¥¼ ì¬ì©íì¬ ê°ë°ì ë° ë°ì´í° ê³¼íìê° ëª¨ë ê·ëª¨ì ê¸°ê³ íìµ ëª¨ë¸ì ì½ê³ ë¹ ë¥´ê² êµ¬ì¶, êµì¡ ë° ë°°í¬í ì ìê² ì§ìíê³ ììµëë¤.

ë¡ë ê°ì

ì´ë¬í ëª¨ë¸ì MLBê° ì ì ê¸°ë¡, ê²ì ë¸í¸ ìº¡ì², í¬êµ¬ ë¶ë¥ì ê°ì ë ì½ë ì ì§ ë° íµê³ì ê´ë ¨ë ìê° ìëª¨ì ì¸ ìë íë¡ì¸ì¤ë¥¼ ìì ë ë° ëìì´ ë©ëë¤.

ê²ì ê°ì¸í

MLBë Amazon ML Solutions Labê³¼ íë ¥íì¬ í¬êµ¬ ìì¸¡ ì íì± íì¤í¸, ê°ì¸íë ìì²ì ê²½í ìì±ì ë¹ë¡¯íì¬ ì ì ì±ê³¼ë¥¼ ë¶ìíë ì¶ì ê¸°ì ì¸ Statcastë¥¼ ì§ìì ì¼ë¡ ê°ì í ê³íìëë¤.

ì¸ê³µ ì§ë¥ì íë°

MLBë ì¸ê³µ ì§ë¥ì ì¬ì©íì¬ íì ì ê³ìí ê²ìëë¤. ì´ ì¡°ì§ììë Amazon Comprehendë¥¼ ì¬ì©íì¬ ìì§ì ì¸ ìëì´ìë¥¼ íë´ ë´ë ë¼ì´ë¸ ê²ìì ëë³¸ì ë§ë¤ ì ìë ì¸ì´ ëª¨ë¸ì êµ¬ì¶í ê³íìëë¤.
ìë²ë¦¬ì¤
AWSìì ê¸ë¡ë² ì´ì¡ ë° ë¬¼ë¥ ë¹ì¦ëì¤ë¥¼ ì´ìíë Matson

Matsonì´ ì´ë»ê² AWSë¥¼ ì¬ì©íì¬ íì ê³¼ ì¸ê³ì ìì¤ì ê³ ê° ìë¹ì¤ë¥¼ ì¶ì§íë ëìì ì´ì ìì ì±, ë³´ì ë° ì¸íë¼ ë¹ì© ì ê°ì ì¤ííëì§ ììë³´ììì¤.
ìì¸í ììë³´ê¸°

ì¤ìê° ì»¨íì´ë ì¶ì

Matsonì ê¸ë¡ë² ì»¨íì´ë ì¶ì ì ìí´ ëí ëª¨ë°ì¼ ì íë¦¬ì¼ì´ìì êµ¬ì¶íìµëë¤. ê³ ê°ì ì´ë¥¼ ì¬ì©í´ ì ì íë¬¼ì ì¤ìê°ì¼ë¡ ì¶ì í ì ììµëë¤. ì íë¦¬ì¼ì´ìì ë¤ë¥¸ ì ì©í ê¸°ë¥ì¼ë¡ë ëíì ì ë° ì¼ì ê²ì, ìì¹ ê¸°ë° íêµ¬ ì§ë ì¡°í, ë¼ì´ë¸ ì¶ìë¬¸ ì¹´ë©ë¼ í¼ëë¥¼ ë¤ ì ììµëë¤.

ëª¨ë°ì¼ ëë°ì´ì¤ ì¡ì¸ì¤

ëª¨ë ëª¨ë°ì¼ ëë°ì´ì¤ë Amazon API Gatewayë¥¼ íµí´ AWSì ì¡ì¸ì¤í©ëë¤. ì´ë Matsonì ê¸°ì¡´ ê°ì ì¬ì¤ í´ë¼ì°ë ë´ ë¦¬ìì¤ì ì¡ì¸ì¤í ì ìë ê³ ê°ì©ì± ì£ì§ ë¡ì¼ì´ìì ìëí¬ì¸í¸ë¥¼ ì ê³µí©ëë¤.

ìë²ë¦¬ì¤ ì»´í¨í

AWS Lambda í¨ìë ë§ì´í¬ë¡ ìë¹ì¤ í¨í´ì ì¬ì©í´ ì¤ê³ëìì¼ë©° ì ì ì¶ì ì´ë ì ë° ì¼ì ê³¼ ê°ì´ ë°ë¤ë¥¼ ê¸°ë°ì¼ë¡ í í¹ì ë¹ì¦ëì¤ ë§¥ë½ìì ëª¨ë¸ë§ëììµëë¤.

ë°ì´í°ë² ì´ì¤ êµ¬ì± ë° ì¤í ë¦¬ì§

Amazon DynamoDBë êµ¬ì±ë¿ë§ ìëë¼ ì¬ì©ì í¼ëë°± êµ¬ì±ê³¼ ëª¨ë°ì¼ ëë°ì´ì¤ìì ì ì¡ë ì¬ì©ì í¼ëë°± ìë¦¼ë ê´ë¦¬í©ëë¤. DynamoDB ì¤í¸ë¦¼ì Matsonì ê³ ê° ìë¹ì¤ íì ì¤ìê° ìë¦¼ì ì ê³µí©ëë¤.

ë°ì´í° ëª¨ëí°ë§ ë° ìë¦¼

Matsonì ê³ ê°ì ì íí ìµì ì»¨íì´ë ì¶ì ë° ì ë° ìí ì ë³´ë¥¼ íì©í©ëë¤. ìì¤í ì´ë²¤í¸ì ëª¨ëí°ë§ ë° ìë¦¼ ê¸°ë¥ì Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda ë° CloudWatch Logsë¥¼ ì¬ì©í´ êµ¬íí ì ììµëë¤.

ìë í¬ ìë ìë²ë¦¬ì¤ ì íë¦¬ì¼ì´ì

Matsonì ì´ì ì ì§ ê´ë¦¬í ì¸íë¼ ìì´ ì ì ì ì¶ì í ì ìë ìë í¬ ìë ìë²ë¦¬ì¤ ì íë¦¬ì¼ì´ìì ê³ ê°ìê² ì ê³µí ì ììµëë¤.
ê²ì
ì ì¸ê³ë¥¼ ëìì¼ë¡ íë ê²ìì¸ Fortniteë¥¼ ì§ìíê¸° ìí´ AWSë¥¼ ì¬ì©íë Epic Games

Epic Gamesê° ì´ë»ê² AWSë¥¼ ì¬ì©íì¬ ì ì¸ê³ìì 2ìµ ëªì´ ëë íë ì´ì´ìê² Fortniteë¥¼ ì ê³µíëì§ ììë³´ììì¤.

ìì¸í ììë³´ê¸°

í´ë¼ì°ëì ê¸°ë° êµ¬ì¶

Epic Gamesë 2012ëë¶í° AWSë¥¼ ì¬ì©í´ ìì¼ë©° íì¬ë ëª¨ë ìì¤íì AWS Cí´ë¼ì°ëë¡ ì´ì íì¬ ì ì¸ê³ ê²ì ìë² íë¦¿, ë°±ìë íë«í¼ ìì¤í, ë°ì´í°ë² ì´ì¤, ì¹ ì¬ì´í¸, ë¶ì íì´íë¼ì¸ ë° ì²ë¦¬ ìì¤íì AWSìì ì¤ííê³ ììµëë¤.

íë£»ë°¤ì ê¸°ì

Epic Gamesë 2017ëì í¬ë¡ì¤íë«í¼ ë©í°íë ì´ì´ ê²ìì¸ Fortniteë¥¼ ì¶ìíì¼ë©° íë£»ë°¤ ë§ì ëíì ì¼ì¼ì¼°ìµëë¤. ì²«í´ì Fortniteì ì¬ì©ì ê¸°ë°ì ì ì¸ê³ì ì¼ë¡ 2ìµ ëªì íë ì´ì´ë¡ 100ë°° ì´ì ì±ì¥íìµëë¤.

ê·ëª¨ì ê²½ê³ë¥¼ ëì´

AWSë Fortniteì ì±ê³µì íìì ì¸ ìììëë¤. Epic Gamesë AWSë¥¼ ì¬ì©íì¬ ì©ë ê±±ì ìì´ ììµ ëªì ì´ëë ì¬ì©ìê° ì°¸ì¬íë ê²ì ë´ ì´ë²¤í¸ë¥¼ í¸ì¤ííê³ , ë¶ë¹ 1ìµ 2ì² 5ë°±ë§ ê±´ì ì´ë²¤í¸ë¥¼ ë¶ì íì´íë¼ì¸ì¼ë¡ ìì§íê³ , í ë¬ì 5PB ì´ìì© ì¦ê°íë ë°ì´í° ì¨ì´íì°ì¤ë¥¼ ì²ë¦¬í©ëë¤.

ìµê³ ì ê²ì ê²½í ì ê³µ

Epic Gamesë AWSë¥¼ ì¬ì©íì¬ ëììì´ íë ì´ì´ì ê²½íì ê°ì íê³ ìë¡ê³ í¥ë¯¸ì§ì§í ê²ì ë° ê²ì ììë¥¼ ì ê³µí©ëë¤. ì´ íì¬ë ê¸°ê³ íìµ ë° ì»¨íì´ë ìë¹ì¤ë¥¼ í¬í¨í´ ìì¼ë¡ AWS ìë¹ì¤ ì¬ì©ì íëí ê³íìëë¤.
ìí°íë¼ì´ì¦ ì íë¦¬ì¼ì´ì
ì¤ì ë¹ì¦ëì¤ ì±ì ìí í¨ì¨ì±ì í¥ìíê³ ë¹ì© ë¯¼ì²©ì± ë° ìëë¥¼ ê°ì íë BP

BPê° ì´ë»ê² SAP ì íë¦¬ì¼ì´ì ì íêµ°ì ê°ìí ë° íëííì¬ ì¬ì©ì ê²½íì ê°ì íë ëìì ë¹ì© ë¯¼ì²©ì±ê³¼ ì±ë¥ì í¥ìíëì§ ììë³´ììì¤.
ìì¸í ììë³´ê¸°

ì¤ì ë¹ì¦ëì¤ ì± ê´ë¦¬

BPì IT ì¡°ì§ì ê³µê¸ë§, ì¡°ë¬, ì¬ë¬´ ë±ì ìí´ ì ì¸ê³ìì ìì² ëªì ì§ìì´ ì¬ì©íë SAP ì íë¦¬ì¼ì´ìì ê´ë¦¬í©ëë¤.

ìëì ë¹ì© ë¯¼ì²©ì± í¥ì

ìëì ë¹ì© ë¯¼ì²©ì±ì í¥ìíê¸° ìí´ BPììë Amazon EC2ë¥¼ ì¬ì©íì¬ íµì¬ ë¹ì¦ëì¤ ì±ì í´ë¼ì°ëë¡ ì´ì íìµëë¤. ëí, íììë ê·ëª¨ë¥¼ íì¥íê³ ì¤ìê° ë¶ìì ì§ìíê¸° ìí´ EC2 X1 ì¸ì¤í´ì¤ë¥¼ êµ¬ì¶íìµëë¤.

ì±ë¥ í¥ì

íììë ì´ì ëª ì£¼ ëë ëª ë¬ì´ ìëë¼ ëª ìê° ìì ì¨ëë§¨ëë¡ ìì¤íì ê°ëí ì ììµëë¤. BPë ìëê° 40% í¥ìë Lubricants ERP ìì¤íì ë¹ë¡¯íì¬ ì ë°ì ì¼ë¡ ì±ë¥ì´ í¥ìëê³ ììµëë¤.

ë°ì´í° ë³´ì

í´ë¼ì°ë ë§ì´ê·¸ë ì´ìì ì¼íì¼ë¡ BPë AWS Config, AWS Identity and Access Management(IAM), Amazon CloudWatch ë° AWS Trusted Advisorë¥¼ ì¬ì©íì¬ ë³´ì íì¤ì ì¬ì¤ì íìµëë¤. ì´ë¬í ìë¡ì´ íì¤ì BPê° IT ì¡°ì§ ì´ìì ìí ìì í íë ììí¬ë¥¼ ê°ë°íë ë° ëìì´ ëììµëë¤.

ê²ì. êµ¬ë§¤. ë°°í¬.

ìì¸í ììë³´ê¸°

AWS ìë£¨ì ì´í´ë³´ê¸°

ê¸°ê³ íìµ

ìì¸í ììë³´ê¸°

ë¶ì ë° ë°ì´í° ë ì´í¬

ìì¸í ììë³´ê¸°

ì¬ë¬¼ ì¸í°ë·

ìì¸í ììë³´ê¸°

ìë²ë¦¬ì¤ ì»´í¨í

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ì»¨íì´ë

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Windows ìí¬ë¡ë

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ëª¨ë ìë£¨ì ë³´ê¸°

ê°ì¥ ê¹ë¤ë¡ì´ ìêµ¬ ì¬íì ë§ê² ì¤ê³

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ê·ì ì¤ì

ê°íë ì ì´ ê¸°ë¥, ê°ì¬ ë° ê´ë²ìí ë³´ì ì¹ì¸

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íì¥ì±

ê³ ê°ì AWS êµ¬ì¶ ì¬ë¡ ììë³´ê¸°

ëª¨ë ê³ ê° ì±ê³µ ì¬ë¡ ë³´ê¸°

AWS ë¦¬ì ì ê¸ë¡ë² ë¤í¸ìí¬

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ë²ì§ëì ë¶ë¶(6), ì¤íì´ì¤(3)

ë¯¸êµ ìë¶
ìºë¦¬í¬ëì ë¶ë¶(3), ì¤ë ê³¤(4)

ììì ííì
ëë°ì´(2), ìì¸(2), ì±ê°í¬ë¥´(3), ìëë(3), ëì¿(4), ì¤ì¬ì¹´ ë¡ì»¬(1)

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íëí¬í¸ë¥´í¸(3), ìì¼ëë(3), ë°ë(3), íë¦¬(3), ì¤í¡íë¦(3)

GovCloud(US)
US-East(3), US-West(3)

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Gartner ë° IDCì ê°ì ì ëë¦¬ì¤í¸ê° AWSë¥¼ ì´ë»ê² íê°íëì§ ììë³´ê¸°

AWS êµì¡

ìë ê°ë°ì ëìì´ ëë ì¨ëë§¨ë ë¦¬ìì¤

AWS íí¸ë ë¤í¸ìí¬

AWS Marketplace

ëª ë¶ ìì AWSìì ì¸ê¸° ìë ë¤ìí ìíí¸ì¨ì´ë¥¼ ììí ì ììµëë¤

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AWS for Power & Utilities

Powering digital transformation and innovation in utilities

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#####EOF##### The Soul of an Octopus: A Surprising Exploration into the Wonder of Consciousness Reprint, Sy Montgomery - Amazon.com

The Soul of an Octopus: A Surprising Exploration into the Wonder of Consciousness Reprint Edition, Kindle Edition

by Sy Montgomery (Author)

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Finalist for the National Book Award for Nonfiction * New York Times Bestseller * Starred Booklist and Library Journal Editors’ Spring Pick * A Huffington Post Notable Nonfiction Book of the Year * One of the Best Books of the Month on Goodreads * Library Journal Best Sci-Tech Book of the Year * An American Library Association Notable Book of the Year

“Sy Montgomery’s The Soul of an Octopus does for the creature what Helen Macdonald’s H Is for Hawk did for raptors.” —New Statesman, UK

“One of the best science books of the year.” —Science Friday, NPR

Another New York Times bestseller from the author of The Good Good Pig, this “fascinating…touching…informative…entertaining” (Daily Beast) book explores the emotional and physical world of the octopus—a surprisingly complex, intelligent, and spirited creature—and the remarkable connections it makes with humans.

In pursuit of the wild, solitary, predatory octopus, popular naturalist Sy Montgomery has practiced true immersion journalism. From New England aquarium tanks to the reefs of French Polynesia and the Gulf of Mexico, she has befriended octopuses with strikingly different personalities—gentle Athena, assertive Octavia, curious Kali, and joyful Karma. Each creature shows her cleverness in myriad ways: escaping enclosures like an orangutan; jetting water to bounce balls; and endlessly tricking companions with multiple “sleights of hand” to get food.

Scientists have only recently accepted the intelligence of dogs, birds, and chimpanzees but now are watching octopuses solve problems and are trying to decipher the meaning of the animal’s color-changing techniques. With her “joyful passion for these intelligent and fascinating creatures” (Library Journal Editors’ Spring Pick), Montgomery chronicles the growing appreciation of this mollusk as she tells a unique love story. By turns funny, entertaining, touching, and profound, The Soul of an Octopus reveals what octopuses can teach us about the meeting of two very different minds.

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Editorial Reviews

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“Enter the mysterious intelligent alien world of the octopus. Experience a real intelligence based on a sense of touch that humans can barely imagine.” (Temple Grandin, author of Animals in Translation )

"Renowned author Sy Montgomery's latest gem is a must read for those who want to dissolve the human-constructed borders between "them" (other animals) and us. Surely, there are large differences among nonhuman animals and between nonhuman and human animals, but there also are many basic similarities. Connecting with other animals is part of the essential and personal process of rewilding and reconnecting with other animals, and The Soul of an Octopus is just what is needed to close the gap." (Marc Bekoff, author of The Emotional lives of Animals )

"Diving deeper than Jules Verne ever dreamed, The Soul of an Octopus is a page-turning adventure that will leave you breathless. Has science ever been this deliciously hallucinatory? Boneless and beautiful, the characters here are not only big-hearted, they're multi-hearted, as well as smart, charming, affectionate...and, of course, ambidextrous. If there is a Mother Nature, her name is Sy Montgomery." (Vicki Constantine Croke, author of Elephant Company )

"In The Soul of an Octopus, Sy Montgomery immerses readers into an intriguing, seductive world just beneath the ocean waves and the lives of the creatures living within. In this beautifully written book, she brings empathy, insight, and an enchanting sense of wonderment to the bonds we inherently share with other beings—even those seeming far different from us." (Vint Virga, DVM The Soul of All Living Creatures)

“A captivating book on an intelligence as ‘alien’ as one from outer space. And its not science fiction.” (Bernd Heinrich, author of Mind of the Raven )

"Can an octopus have a mind and emotions, let alone a soul? Sy Montgomery faces these questions head-on in her engaging new book as she explores the world of octopuses, making friends with several and finding heartbreak when they die. They aren't, she discovers, simply brainless invertebrates, but personable, playful, conscious beings. Montgomery's enthusiasm for animals most of us rarely see is infectious, and readers will come away with a new appreciation for what it means to be an octopus." (Virginia Morell, author of ANIMAL WISE: How We Know Animals Think and Feel )

"With apparent delight, Montgomery puts readers inside the world of these amazing creatures. A fascinating glimpse into an alien consciousness." (Kirkus Reviews )

"The Soul of an Octopus is one of those works that makes you hope we can save the planet if for no other reason than to preserve the wondrous beasts we are fortunate enough to share it with." (Steve Lysaker, Outward Hounds )

"Sy Montgomery’s joyful passion for these intelligent and fascinating creatures will have you rethinking that order of calamari." (Library Journal Editors' Spring Pick)

"Sweet moments are at the heart of Montgomery's compassionate, wise and tender new book... Only a writer of her talent could make readers care about octopuses as individuals... Joins a growing body of literature that asks us to rethink our connection to nonhumans who may be more like us than we had supposed." (St. Paul Pioneer Press)

"I can't do justice to the wonder of this book, the joy and pain and fellowship and grief that Montgomery brings to life with her words...Completely engrossing and accessible." (malcolmavenuereview.blog)

"Montgomery's passion for other species is infectious...[Her] warmth and exuberance...make good reading, and her awe and admiration are uplifting... I felt informed, moved, and inspird - whieh is all a reader could possibly hope for from a book." (Union Leader)

"An engaging work of natural science... There is clearly something about the octopus’s weird beauty that fires the imaginations of explorers, scientists, writers." (The Daily Mail - UK)

"Delightful." (NATURE)

"Fascinating... touching... informative... Entertaining books like The Soul of an Octopus remind us of just how much we not only have to learn from fellow creatures, but that they can have a positive impact on our lives."

About the Author

Sy Montgomery is a naturalist, documentary scriptwriter, and author of twenty acclaimed books of nonfiction for adults and children, including the National Book Award finalist The Soul of an Octopus and the memoir The Good Good Pig, a New York Times bestseller. The recipient of numerous honors, including lifetime achievement awards from the Humane Society and the New England Booksellers Association, she lives in New Hampshire with her husband, border collie, and flock of chickens.

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File Size: 15298 KB
Print Length: 273 pages
Publisher: Atria Books; Reprint edition (July 12, 2016)
Publication Date: July 12, 2016
Sold by: Simon and Schuster Digital Sales Inc
Language: English
ASIN: B01HMXRU82
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Amazon Best Sellers Rank: #24,900 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #1 in Invertebrates
- #1 in Ecology of Marine Life
- #2 in Marine Biology (Kindle Store)

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Shelley Isom

How can anyone not be interested in the octopus?

March 26, 2016

Format: HardcoverVerified Purchase

I once kept an octopus in a sea water aquarium. For the week that I kept her, she spent all her time watching every move that I made. Every night even though I piled the aquarium with plywood heaped with books and anything heavy, she would crawl out and I would find her on the rug the next morning. Thinking she was dead, I would scrape her into a dustpan and put her back in the aquarium where she would come to life -- unhappily. She had so much impact on me that by the end of the week I knew I had to put her back in the ocean. Her huge consciousness had made me feel small and stupid for trying to keep a creature that could make itself felt that way in a small aquarium. This happened in the '60's but I never forgot her and I have ever since been crazy about octopus (and cuttle fish). We have so consistently underrated the creatures we share the world with that this was a wake up call for me. For awhile, I wanted to be a marine biologist but I knew I wouldn't want to spend my time killing and cutting up living creatures to "scientifically" study them. If rats don't take over, than surely the octopus will once we are gone. Oh, yes, and I LOVED THIS BOOK and the woman who wrote it.

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Barbara Winch

Too Much About YOU

March 11, 2017

Format: PaperbackVerified Purchase

I felt the editorial reviews were misleading. They raved about this book. And while I was thrilled with the first half of the book since I was learning about octopuses, I was very positive about this reading experience initially. But then the author got into her scuba diving excursions and her relationships with other divers and I felt rather cheated. I thought the book was about the life style and physiology of the octopus, not about her scuba diving misadventures and relationships with other divers. I wonder if the folks who wrote the editorial reviews actually read her entire book. It was a disappointment to me.

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Earth lover

Capturing soulful wild creatures and confining them for months in pickle barrels is ok?

January 15, 2016

Format: HardcoverVerified Purchase

I was certain I would love this book having encountered many octopuses while diving, and firmly being in the camp that they, like other living creatures, are sentient souls. We cannot know specifically what they are thinking but lets give them credit for having thoughts and capacity for something more than simple reaction to physical stimuli. I was eager to learn more about this.

The book gets two stars because I did read it in its entirety - an easy enough read - and enjoyed the occasional information tidbits; furthermore if this treatment of the topic persuades anyone out there to think anew about such creatures, then despite shortcomings, there is some value to it.

However, I give it no more than two stars for two reasons:
1. This was pretty thin gruel, as others have said, with respect to any new or particularly insightful information about octopus behaviors or relationships or what we might deduce about octopus intellect or emotional life from closely and rigorously observing these things. This more is a story about the author's many visits 'behind the scenes' to a series of captured aquarium octopuses, and about the aquarium staff associated with that activity. The main gist about 'soulfulness' is drawn from how these confined creatures responded to the author, and others, in ways that she interpreted to be friendship. Perhaps so, perhaps not - she offers little to support this beyond the sensation of suckers winding up her arms, and what may have just as likely been the animals' desperate attempts to find relief from such close boring confines.

2. That leads to the second reason for only two stars. If as seems the case that the author and aquarium staff care so deeply for these creatures, how can they then reconcile confining - alone - in a small dark boring pickle barrel for months at a time, animals captured in young and mid-life from their wild free oceanic homes. It might just be that these octopuses rise up in their barrel prison and taste those protruding arms with their suckers because there is NOTHING ELSE TO DO other than dying of depression. This confinement seems cruel beyond imagining...indeed one of the captured octopuses does die trying to escape, and others chomp at the restraints in similar attempts. It seems we've come to some consensus that this is not the way to treat primates, why then should it be ok for marine creatures which are being highlighted in this very same book as smart, soulful, and sentient. Does not add up.

One can reasonably argue the value, plusses and minuses of zoos and aquarium in general, but capturing and tightly confining smart, free, wild animals for eventual display - and losing some in this process as the price of doing business - does have implications that are an inherent yet all but unacknowledged under-theme of this book. This created a wrinkle that this reader at least just could not overcome.

For a more cogent treatment of this topic, I recommend Carl Safina's 'Beyond Words, What Animals Think and Feel' or watch his excellent recent TED talk on the same topic.

876 people found this helpful

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Michael Nieuwenhuizen

Disappointing.

March 5, 2017

Format: Kindle Edition with Audio/VideoVerified Purchase

Disappointing. I was hoping to learn more about the lives of octopuses, but instead I most of the story was about someone visiting several octopuses in an aquarium. Not a big fan of keeping animals in captivity - the author even describes how some of the animals must have got really bored - but instead of learning many facts about these amazing creatures, we get loads of little side stories about the personal lives of the other people visiting or working at the aquarium.

I read this book after "What a Fish Knows" which is a brilliant book, very insightful, and maybe I set the bar too high and was expecting something similar.

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#####EOF##### Amazon.com: Sapiens: A Brief History of Humankind eBook: Yuval Noah Harari: Kindle Store

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New York Times Bestseller

A Summer Reading Pick for President Barack Obama, Bill Gates, and Mark Zuckerberg

From a renowned historian comes a groundbreaking narrative of humanity’s creation and evolution—a #1 international bestseller—that explores the ways in which biology and history have defined us and enhanced our understanding of what it means to be “human.”

One hundred thousand years ago, at least six different species of humans inhabited Earth. Yet today there is only one—homo sapiens. What happened to the others? And what may happen to us?

Most books about the history of humanity pursue either a historical or a biological approach, but Dr. Yuval Noah Harari breaks the mold with this highly original book that begins about 70,000 years ago with the appearance of modern cognition. From examining the role evolving humans have played in the global ecosystem to charting the rise of empires, Sapiens integrates history and science to reconsider accepted narratives, connect past developments with contemporary concerns, and examine specific events within the context of larger ideas.

Dr. Harari also compels us to look ahead, because over the last few decades humans have begun to bend laws of natural selection that have governed life for the past four billion years. We are acquiring the ability to design not only the world around us, but also ourselves. Where is this leading us, and what do we want to become?

Featuring 27 photographs, 6 maps, and 25 illustrations/diagrams, this provocative and insightful work is sure to spark debate and is essential reading for aficionados of Jared Diamond, James Gleick, Matt Ridley, Robert Wright, and Sharon Moalem.

Length: 469 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
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An Amazon Best Book of the Month for February 2015: Yuval Noah Harari has some questions. Among the biggest: How did Homo sapiens (or Homo sapiens sapiens , if you’re feeling especially wise today) evolve from an unexceptional savannah-dwelling primate to become the dominant force on the planet, emerging as the lone survivor out of six distinct, competing hominid species? He also has some answers, and they’re not what you’d expect. Tackling evolutionary concepts from a historian’s perspective, Sapiens: A Brief History of Humankind, describes human development through a framework of three not-necessarily-orthodox “Revolutions”: the Cognitive, the Agricultural, and the Scientific. His ideas are interesting and often amusing: Why have humans managed to build astonishingly large populations when other primate groups top out at 150 individuals? Because our talent for gossip allows us to build networks in societies too large for personal relationships between everyone, and our universally accepted “imagined realities”--such as money, religion, and Limited Liability Corporations—keep us in line. Who cultivated whom, humans or wheat?. Wheat. Though the concepts are unusual and sometimes heavy (as is the book, literally) Harari’s deft prose and wry, subversive humor make quick work of material prone to academic tedium. He’s written a book of popular nonfiction (it was a bestseller overseas, no doubt in part because his conclusions draw controversy) landing somewhere in the middle of a Venn diagram of genetics, sociology, and history. Throughout, Harari returns frequently to another question: Does all this progress make us happier, our lives easier? The answer might disappoint you. --Jon Foro

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"Harari is provocative and entertaining." ---Publishers Weekly

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File Size: 33766 KB
Print Length: 469 pages
Publisher: Harper; Reprint edition (February 10, 2015)
Publication Date: February 10, 2015
Sold by: HarperCollins Publishers
Language: English
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Amazon Best Sellers Rank: #685 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #1 in Evolution (Kindle Store)
- #1 in Prehistory eBooks
- #1 in History of Biology & Nature

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important hypothesis about human cooperation, but without critical analysis or scientific development

February 10, 2018

Format: Kindle EditionVerified Purchase

Harari primarily presents an hypothesis as to how Homo sapiens who successfully migrated out of Africa circa 70 kya (thousand years ago) and thereafter, successfully dominating the planet, differed from earlier Homo sapiens who attempted out migration previously (e.g. around 130 kya) but were not successful. Keep in mind that Homo neanderthals in Europe and Homo erectus in Asia had climate and environment adaptations that sapiens did not have and were separate species. Harari claims (assumes) that the later sapiens differed from the earlier sapiens in only one way. They had evolved the ability to form an "inter-subjective reality," as opposed to objective reality (physical) or subjective reality (in only one person's mind). They were able to tell stories and believe them, independent of physical reality.

Everything from myth to religion to nations to moral codes to money are inter-subjective realities according to Harari. They have force in the physical world as long as people believe them, and cease to exist the moment people no longer believe them. This explains how people could cooperate in groups larger than 150, giving them a military and security advantage, and encouraging specialization which eventually gave them a technological advantage.

Moreover, Harari claims (assumes) all these later sapiens were genetically identical, and that the variations in societies are purely cultural, i.e. inter-subjective realities. He presents history as an erratic evolution toward global unity, which is essentially demanded by the nature of inter-subjective realities, requiring belief of all those in mutual frequent contact, but he doesn't say how.

In fact, Harari presents only anecdotal evidence for his claim. He presents no empirical studies regarding the flexibility of humans toward inter-subjective realities, and no mathematical models of its development, evolutionary advantage, or stability. He describes the scientific method as an important development, and requires it to include both mathematical models and verification of them. But he does not use either in his treatise. Thus he presents an important and interesting hypothesis, but not in a scientific manner. He makes not even suggestions as to how to further formulate or verify it as a scientific theory. Perhaps he is trapped in the inter-subjective reality of history as liberal arts, not science.

The term "intersubjective" does exist in the literature of psychology and philosophy, primarily as a synonym for "agreement," but there is no agreement about its definition (Gillespie and Cornish 2009, Journal for Theory of Social Behavior) state:

"The concept of intersubjectivity is used widely, but with varying meanings. Broadly speaking, we take intersubjectivity to refer to the variety of possible relations between peopleâs perspectives. If we take social life to be founded on interactions then intersubjectivity should be a core concept for the social sciences in general and understanding social behaviour in particular. Perhaps because of this broad relevancy research has been fragmented and at least six definitions are in circulation. Most simplistically, intersubjectivity has been used
to refer to agreement in the sense of having a shared definition of an object."

The biggest complaint I have about Harari is that he does not distinguish between his opinion and facts, nor explain the background of how he arrived at the theory of inter-subjectivity. The study of the evolution of cooperation is a hot topic, with political scientists, biologists, mathematicians and even physicists all having theories, and much data collected and many math models developed. It is apparent Harari is aware of this, but does not tell us how his theory fits in. I can only conclude he finds his powers of popular persuasion greater than his powers of scientific persuasion and critical analysis, so he writes a long book instead of a focused research paper.

By the way, you can find excellent video summaries and reviews of this book on the web, and even a "summary" for sale as an eBook. I originally got interested from the video summary.

Near the end Harari reports on happiness research. In this section of the book he takes exception to his usual approach, giving us descriptions of studies and names of researchers so we can trace where these conclusions come from. The book is worth reading for this section.

Occasionally Harari gets facts wrong. You won't realize this unless you have investigated the matter separately. I noticed it because his description of the origin of the caste system in India was wrong, according to current research.

Harari tries to present himself as outside modern factions (or inter-subjective realities), such as nature vs. nurture, liberalism vs. conservatism, etc. But without conscious explication, he suffuses his book with the assumption that any modern human if taken from birth is equally at home in any of the current or historical inter-subjective realities. He does not propose or even consider experiments to determine culture-vs-genetics. So he proposes this important genetic ability evolved in a small population on a single continent between 130kya and 70kya, but that no differentiating evolution has occurred since then.

The question of whether the degree or style of inter-subjectivity is as universal as he implies is important for several reasons. Harari proposes the world is "different" since 1945, with no war between major powers, no more empires expanding by territorial acquisition. He suggests some reasons for this (cost of nuclear war, for example) which are unverified. His book was completed in 2014 before Russia claimed parts of Ukraine and China claimed the entire South China Sea. If inter-subjective capacity is universal, then this situation is likely unstable. People could quit believing it at any moment, and the world could return to any state that it has been in historically. If inter-subjective capacity is not identical in everyone, then it might make a great deal of difference which cultures dominate, even if through historical accident. See for example Boyd and Richerson 2009 Culture and the Evolution of Human Cooperation.

So, it is a book full of powerful ideas, often with carefully balanced arguments on both sides, but beware of accepting the background assumptions without critical thinking, or you will just fall into the latest meme.

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Evan Donald

did not enjoy it at all

August 25, 2018

Format: Kindle EditionVerified Purchase

I bought the book based on high rating but was disappointed. The beginning part was ok but later I felt more and more not reading actual (scientific) facts but only the author's own opinions REPEATEDLY which were presented in a bad way. I tried to continue to finish the book but it was not an easy task. Anyway, not a good book for me,

173 people found this helpful

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Andrew Terhune

Don't be fooled. This book is opinion masquerading as science.

September 28, 2018

Format: Kindle EditionVerified Purchase

If you want to learn about the author's feelings and musings about modern society cloaked in the history of our species, this book is for you. If, however, you, as I did, want to learn something scientific about the progress of our species unspoiled by a political screed, search for something else. Rarely have I felt that I misspent money on a book. In this case, I did. Too bad because it might have been an interesting read. I could go on, but it's not worth more of my time.

75 people found this helpful

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Stanley

Fun, Enjoyable Easy Read

March 12, 2017

Format: PaperbackVerified Purchase

Never before have I reviewed a book after 2300 others have done the same. Who's going to read 2300 reviews and who will read this? Surely a waste of time for a lot of people including me. Now that I am past that let me state that Harari gives a heckeva good read. This is not the usual rise and fall of empires and kingdoms but a broad ranging overview of how we got here. Parts of it were downright fascinating such as "imagination" being a keystone to human activity, e.g. corporations, money, and religion.

Something I found really different and pleasing was his discussion of things where he had no real answer. In the case of all cultures being patriarchal he gives three or four possible reasons. That's good enough for me as there is still no real answer. I find that fair and enlightening. He also does something different as he uses the pronoun "she" throughout the book instead of the previously required male pronoun. Finally he keeps touching on the fact that animals have paid a terrible price for the rise of sapiens. From hunter-gatherer days to the factory farms of today they have suffered. He's right. Incidentally our family has a farm background and I eat no chicken, turkey, pork, or beef. Ever been in a confinement barn?

Now I didn't give the book five stars because he makes positive references to the misguided but widely read Jared Diamond. He borrows a fair amount from Diamond, for example, in that hunter-gatherers were happier than folks today. Let me emphasize that on this snowy March day the cat and I are both glad we don't need to go out and scavenge something off the frozen earth.

Finally, beware of the paper back edition. It has incredibly cheap paper and tiny print. If you purchase the book look for a hard cover. I now consign this review to oblivion. . .still I liked the book.

1,989 people found this helpful

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Didn't bother to finish

September 1, 2018

Format: Kindle EditionVerified Purchase

Didn't finish - what starts as interesting history turns quickly into a biased, hateful rant against humanity. Obviously there is room for critique in that regard but that's not why I bought it or what it is promoted as.

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Transformación empresarial
Capital One volvió a concibir la banca con AWS

Conozca cómo Capital One implementó su estrategia de prioridad de la nube a través de la educación, la planificación a largo plazo y el enfoque constante en las necesidades de los clientes.
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Enfoque en los clientes

En 2014, Capital One tenía una incipiente capacidad de nube privada y también estaba experimentando con AWS. En un esfuerzo por desarrollar las características que sus clientes querían lo más rápido posible, la empresa optó por buscar la solución en AWS.

La parte difícil primero

La seguridad y la conformidad con críticos para Capital One como institución financiera. Para abordar estas necesidades, Capital One creó un marco de riesgo de la nube y estableció una función de control en esta tecnología antes de trasladar una carga de trabajo única a AWS.

Educación: la clave para trasladarse a la nube

Capital One ofrece un programa de formación en la nube para los ingenieros que trabajan directamente en AWS, así como para las partes interesadas sin conocimientos técnicos que necesitan poder defender el potencial de la informática en la nube. La compañía ahora se ubica entre las tres principales empresas de todo el mundo en cuanto a las certificaciones de AWS que tienen los empleados.

Materializar los beneficios de la nube

Al utilizar AWS, Capital One lleva al mercado nuevos productos en semanas en lugar de meses o años, utiliza el aprendizaje automático para mejorar la experiencia del cliente y atrae a los mejores desarrolladores e ingenieros, todo lo cual ayuda a la compañía a lograr su objetivo más importante: crear experiencias experiencias para su clientes.
Análisis predictivos
Formula One Group usa Amazon SageMaker para optimizar las carreras

Conozca de qué manera la Fórmula 1 usa Amazon SageMaker y otros servicios de AWS para optimizar las decisiones relacionadas con las carreras y mejorar la experiencia de los seguidores.

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El comienzo de una transformación

El Grupo Fórmula Uno está migrando la mayor parte de su infraestructura de centros de datos locales a AWS y estandarizando en servicios de aprendizaje automático de AWS, incluido Amazon SageMaker.

Optimización de carreras con el aprendizaje automático

Mediante datos de carreras históricos recopilados a partir de automóviles durante los últimos 65 años, los científicos de datos de la Fórmula 1 están entrenando modelos de aprendizaje profundo para que realicen predicciones de carreras y ayuden a los equipos a optimizar decisiones durante una carrera. Los modelos pueden predecir cuándo los equipos deberían realizar paradas técnicas para los automóviles, determinar el mejor momento para cambiar los neumáticos y evaluar el desempeño de los conductores.

Incorporación de los seguidores a la pista

A continuación, la Fórmula 1 utiliza streaming de datos, análisis y servicios multimedia de AWS para distribuir información sobre las decisiones de los conductores y el rendimiento de los automóviles a sus más de 500 millones de seguidores.

Formación del futuro

Como la Fórmula 1 ejecuta sus cargas de trabajo informáticas de alto rendimiento en un entorno escalable en AWS, la organización puede realizar innovaciones en el diseño de automóviles, la experiencia de las carreras de la Fórmula 1, entre otras cosas, sin preocuparse por la capacidad.
Aprendizaje automático
La MLB selecciona a AWS como proveedor oficial del servicio de aprendizaje automático

Descubra de qué manera la Liga de Béisbol Profesional de Estados Unidos le da sentido a las estadísticas a través de AWS Machine Learning
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Una base para el aprendizaje profundo

La MLB ha recopilado datos estadísticos sobre sus jugadores y clubes durante décadas. En 2015, comenzó a usar servicios de AWS para recopilar y distribuir estadísticas de los partidos del día a fin de mejorar la experiencia de los seguidores.

Mayor capacidad de acción para los desarrolladores

Gracias a Amazon Sagemaker, la MLB puede permitir a sus desarrolladores y científicos de datos crear, entrenar e implementar de manera rápida y fácil modelos de aprendizaje automático a escala.

Menor carga

Estos modelos ayudan a la MLB a eliminar procesos manuales y que consumen mucho tiempo asociados con las estadísticas y la conservación de registros, como el almacenamiento de puntajes, el registro de las notas sobre los partidos y la clasificación de los lanzamientos.

Personalización de partidos

El objetivo de la MLB es trabajar con Amazon ML Solutions Lab para continuar mejorando Statcast (su tecnología de seguimiento que analiza el rendimiento de los jugadores) incluida las pruebas de la precisión de las predicciones de los lanzamientos y la creación de experiencias personalizadas para los espectadores.

Un jonrón con inteligencia artificial

La MLB continuará innovado mediante el uso de inteligencia artificial La organización planea utilizar Amazon Comprehend para crear un modelo de lenguaje que pueda crear secuencias de comandos para partidos en directo que simulen presentadores emblemáticos.
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Matson utiliza AWS para el funcionamiento de su negocio internacional de logística y envío

Conozca de qué manera Matson usa AWS para promover la innovación y un servicio al cliente de nivel internacional, al mismo tiempo que logra fiabilidad operativa, seguridad y ahorro de costos en infraestructura.
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Seguimiento de contenedores en tiempo real

Matson creó una aplicación móvil de referencia para el seguimiento internacional de contenedores que permite a los clientes realizar un seguimiento en tiempo real de sus envíos de carga. Otras características útiles de la aplicación incluyen la búsqueda interactiva de cronogramas de buques, las búsquedas de mapas de puertos basadas en ubicaciones y la actividad en directo de las cámaras de las puertas.

Acceso desde dispositivos móviles

Todos los dispositivos móviles obtienen acceso a AWS mediante Amazon API Gateway. Este método ofrece puntos de enlace con alta disponibilidad ubicados en bordes para el acceso a los recursos dentro de las nubes privadas virtuales existentes de Matson.

Informática sin servidor

Las funciones de AWS Lambda están diseñadas con un patrón de microservicios y adaptadas en función de contextos comerciales específicos basados en océanos, como el seguimiento de los envíos y los cronogramas de los buques.

Configuración y almacenamiento de bases de datos

Amazon DynamoDB administra la configuración, además de la configuración de los comentarios de los usuarios y las notificaciones de comentarios de los usuarios que se envían desde dispositivos móviles. DynamoDB Streams suministra notificaciones en tiempo real al equipo de atención al cliente de Matson.

Alertas y monitoreo de datos

Los clientes de Matson confían en la información de estado del buque y en el seguimiento de contenedores preciso y por minuto. El monitoreo y las alertas de eventos del sistema se logran mediante el uso de los servicios Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda y CloudWatch Logs.

Aplicación integral sin servidor

Matson ahora puede ofrecer a sus clientes una aplicación integral sin servidor que los ayuda a realizar un seguimiento de sus envíos, sin infraestructura para mantener.
Juegos
Epic Games utiliza AWS para potenciar el juego mundial Fortnite

Conozca cómo Epic Games utiliza AWS para llevar a Fortnite a más de 200 millones de jugadores en todo el mundo.

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Crear las bases en la nube

Epic Games ha estado utilizando AWS desde 2012 y ahora se encuentra en la nube de AWS, donde ejecuta su flota mundial de servidores de juegos, sistemas de plataforma backend, bases de datos, sitios web, canalización de análisis y sistemas de procesamiento en AWS.

Un éxito de la noche a la mañana

En 2017, Epic Games lanzó Fortnite, un juego multiplataforma y multijugador que se convirtió en un éxito de la noche a la mañana. En su primer año, la base de usuarios de Fortnite creció en más de 100 veces hasta llegar a 200 millones de jugadores en todo el mundo.

Mover los límites de la escala

AWS fue parte integral del éxito de Fortnite. Con AWS, Epic Games puede organizar eventos en el mismo juego con cientos de millones de usuarios invitados sin tener que preocuparse por la capacidad, incorpora 125 millones de eventos por minuto en su canalización de análisis y maneja un crecimiento de más de 5 PB por mes en el almacén de datos.

Ofrecer la mejor experiencia de juego

Con AWS, Epic Games siempre mejora la experiencia de sus jugadores y ofrece juegos y elementos nuevos y emocionantes. La compañía planea expandir su uso de los servicios de AWS en el futuro, incluyendo el aprendizaje automático y los servicios en contenedores.
APLICACIONES EMPRESARIALES
BP mejora el nivel de eficiencia y logra mayor velocidad y agilidad en costos para sus aplicaciones empresariales fundamentales

Vea de qué manera BP simplificó y modernizó su conjunto de aplicaciones de SAP, lo que le permitió mejorar la experiencia del usuario y, al mismo tiempo, lograr agilidad en los costos y un rendimiento optimizado.
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Administrar aplicaciones empresariales fundamentales

La organización de TI de BP administra las aplicaciones de SAP que utilizan miles de empleados de todo el mundo para tareas de cadena de suministro, compras, finanzas, entre otras.

Mejora de la velocidad y la agilidad en los costos

Con el objetivo de mejorar la velocidad y lograr agilidad en los costos, BP usó Amazon EC2 para migrar estas aplicaciones empresariales fundamentales a la nube. Además, el equipo creó instancias X1 de EC2 para incrementar la escala y respaldar el análisis en tiempo real.

Incrementar el nivel de rendimiento

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#####EOF##### Reach Your Goal: Richard Bejtlich, Anna Wonsley: 9780368016516: Amazon.com: Books

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We know it's not healthy to be hunched over a smart phone, trapped in an office, or driving a long daily commute. We need tools to counter these negative effects of the modern lifestyle. Through exercises designed to help you open your hips, expand your shoulders, and touch your toes, Reach Your Goal provides these tools. Each chapter offers a flexibility assessment, a fundamental routine, an advanced routine, and a set of performance enhancement exercises, specifically targeting today's top three flexibility challenges -- tight hips, shoulders/back, and hamstrings. Featuring engaging text and over 200 clear photographs, Reach Your Goal offers an integrated stretching method suitable for yoga practitioners, martial artists, and anyone seeking better fitness. Commit to a healthier, happier lifestyle today!

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From the Author

Contents:

Acknowledgement 10
Introduction 12
Chapter 1: Open Your Hips 20
Chapter 2: Expand Your Shoulders 58
Chapter 3: Touch Your Toes 122
Conclusion 166
References 170
About the Authors 172

From the Inside Flap

Introduction:

Anna realized the importance of stretching when she decided to earn a black belt in TaeKwonDo. She had one problem: She was not 10 years old. Without a dedicated stretching program, flexible children will grow into stiff adults. Tae Kwon Do instructors, however, expect students to kick above their heads, sit into full splits, and move their bodies in challenging ways.Â

In class, Anna felt stiff and awkward trying to throw side kicks and other techniques. She decided to apply the flexibility lessons she had learned as a fitness professional to her own life. Thanks to practice and regular stretching, Anna achieved her black belt in January 2018. She was inspired to share her methods with you, to be flexible and healthy--whether your opponent is a fighter in a martial arts class or the chair in your air-conditioned office.â¨

We wrote this book to address three common flexibility challenges: opening your hips, expanding your shoulders, and touching your toes. These three goals are foundations upon which more complex motions and exercises can be built. Achieving each will improve your quality of life by counteracting forces that seek to contract, minimize, and damage your body. â¨

We suggest a series of routines, carefully chosen to help you achieve each objective. Rather than being a random collection of stretches, we present a fluid progression of movements. Although we do show how to stretch specific groups of muscles, we are more concerned with helping you reach your flexibility goals. We designed these routines to be easy to remember. Each progression addresses major muscle groups, as well as secondary muscle groups, to achieve maximum effectiveness and efficiency.â¨

Each stretching routine begins with an assessment. We strongly encourage you to assess your flexibility and mobility prior to beginning the routine. Work independently or with a partner to measure your current state. Consider taking pictures of your assessment results before and after the routine. Visual measurement of your progress will encourage you to keep training. You will also identify areas for improvement. We would love to see you take notes on your progress in the book. Every inch counts!

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Product details

Paperback: 176 pages
Publisher: Blurb (January 9, 2019)
Language: English
ISBN-10: 036801651X
ISBN-13: 978-0368016516
Product Dimensions: 6 x 0.4 x 9 inches
Shipping Weight: 8.8 ounces (View shipping rates and policies)
Average Customer Review: Be the first to review this item
Amazon Best Sellers Rank: #1,672,056 in Books (See Top 100 in Books)

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#####EOF##### Amazon.com: EarthWise Palo Santo - 20 Sticks - Organic: Home & Kitchen

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EarthWise Palo Santo - 20 Sticks - Organic

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Palo Santo Sticks
20 sticks / 4.5 ounces
Sustainably Harvested from Ecuador
Botanical Name: bursera graveolens
www.EarthWiseAromatics.com

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Product description

Palo Santo sticks sustainably harvested from Ecuador. 20 pieces.

Product information

Package Dimensions

6.3 x 4.2 x 1.6 inches

Item Weight

3.84 ounces

Shipping Weight

3.84 ounces (View shipping rates and policies)

Manufacturer

EarthWise Aromatics

ASIN

B00JDUCSD0

Item model number

SYNCHKG051393

Customer Reviews

622 customer reviews

3.3 out of 5 stars

Best Sellers Rank

#7,576 in Home & Kitchen (See Top 100 in Home & Kitchen)
#24 in Incense

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		Luna Sundara Palo Santo Smudging Sticks High Resin Palo Santo from Ecuador - Wild Harvested Smudging Sticks	Premium Certified Authentic Ecuadorian Kiln-Dried Palo Santo (Holy Wood) Incense Sticks (10), Wild Harvested, 100% Natural for Purifying, Cleansing, Healing, Meditation and Stress Relief	New Age Smudges and Herbs MCWS3 California Mini Sage Wands, 4-Inch, Pack of 3, White	Luna Sundara Palo Santo Smudging Sticks from Peru Sustainably Harvested Quality Hand Picked - 100 Grams (Approximately 13-18 Sticks)	Alternative Imagination Premium Palo Santo Holy Wood Incense Sticks, for Purifying, Cleansing, Healing, Meditating, Stress Relief. 100% Natural and Sustainable, Wild Harvested. (6)
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Sold By	EarthWise Aromatics	Luna Sundara, LLC	Man in the Glass	Moonlit Spirit	Luna Sundara, LLC	Alternative Sourcing
Color	Wood	Natural	Light Beige	White	Natural	Natural
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Chris F. Paterniti

Didn't get what I paid for

April 6, 2017

Verified Purchase

The bag felt a little light for the advertised weight (4.5oz) so I busted out my handy kitchen scale and they only sent me 3.5oz. The product didn't seem of good quality and the sticks were super small and thin.

103 people found this helpful

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Rebeca

Not Palo Santo.

May 7, 2017

Verified Purchase

This is not Palo Santo. It does not smell like Palo Santo. When I light it it burns black smoke and smells like a plain old campfire. Once the stick has burned it falls to ashes. ALL of my previous Santo Palo burned to a hard black chunk. I have lit half of these. Each time telling myself this would be the one that even halfway smells correctly. Not one has. I am very dissatisfied.

60 people found this helpful

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Joseph J. Cavazos

Useless

October 2, 2017

Verified Purchase

I found these Palo Santo sticks to be quite useless. I have used incense and smudge sticks that worked well and thought these sticks might be a welcome new scent, but they are a total waste of time and money. They do not burn well which is something I could work with if at least they produced a decent scent, but they do not. Do not waste your money.

25 people found this helpful

Helpful

Comment

Travis Johnson

VERY DISAPPOINTED after seeing that the sticks looked more like chipped ...

June 28, 2018

Verified Purchase

We've been buying these sticks repeatedly for over 4 months now as giveaways and had no problems until our last order. VERY DISAPPOINTED after seeing that the sticks looked more like chipped wood-- I can only assume that they were leftovers. It's disappointing when businesses send out low quality products thinking that a loyal customer is forever going to be loyal. I am about to place one more order to give these guys one last chance. I'll report back if poor quality is the same as last.

âUPDATEâ
The last order is still the same. A bunch of leftover chips rather than the 1/4 inch thick sticks as described.

12 people found this helpful

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mankid

These do not smell like palo santo whatsoever

March 24, 2018

Verified Purchase

These do not smell like palo santo whatsoever. They smell like regular firewood. It doesn't have a hint of the trademark fragrance. Spend a little more for the real deal.

14 people found this helpful

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M. Patterson

Amazing aroma!

September 3, 2017

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These smell amazing. I have purchased Palo Santo sticks in the past but never had any that had such a strong aroma as these do. I had them in a ziplock bag but accidentally left it open a couple times, each time I did & I would pass by them I could smell them.

The only downside (which has been my experience with all Palo Santo sticks) is they don't stay lit or ambered for very long so you have to continue to light them to use them to smudge or as an incense. This is even before I left them open. Again this seems to be the same with all the Palo Santo I have ever used so I assume it is either the natural humidity of my home or that is just how they burn.

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Ajaey

love the smell

December 18, 2017

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love the smell.. familiar to me, I believe this is used more frequently than one would think.. I find it pleasant.. works best when you shave off a piece, light it, on fireproof surface, and let is smoulder.. Where I store these smell delicious just from the wood sitting there.

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Kim F

Nope

November 2, 2017

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These are NOT the same Paulo Santo sticks I have gotten before. We are super dissapointed. :( Unfortunately we bought them in August and still had some originals left .. We just opened them and can't return.

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#####EOF##### Amazon.com: Homo Deus: A Brief History of Tomorrow eBook: Yuval Noah Harari: Kindle Store

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NEW YORK TIMES BESTSELLER

Yuval Noah Harari, author of the critically-acclaimed New York Times bestseller and international phenomenon Sapiens, returns with an equally original, compelling, and provocative book, turning his focus toward humanity’s future, and our quest to upgrade humans into gods.

Over the past century humankind has managed to do the impossible and rein in famine, plague, and war. This may seem hard to accept, but, as Harari explains in his trademark style—thorough, yet riveting—famine, plague and war have been transformed from incomprehensible and uncontrollable forces of nature into manageable challenges. For the first time ever, more people die from eating too much than from eating too little; more people die from old age than from infectious diseases; and more people commit suicide than are killed by soldiers, terrorists and criminals put together. The average American is a thousand times more likely to die from binging at McDonalds than from being blown up by Al Qaeda.

What then will replace famine, plague, and war at the top of the human agenda? As the self-made gods of planet earth, what destinies will we set ourselves, and which quests will we undertake? Homo Deus explores the projects, dreams and nightmares that will shape the twenty-first century—from overcoming death to creating artificial life. It asks the fundamental questions: Where do we go from here? And how will we protect this fragile world from our own destructive powers? This is the next stage of evolution. This is Homo Deus.

With the same insight and clarity that made Sapiens an international hit and a New York Times bestseller, Harari maps out our future.

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Editorial Reviews

Amazon.com Review

An Amazon Best Book of February 2017: Those who read and loved Yuval Noah Harari’s Sapiens have been eagerly anticipating his new book Homo Deus. While Sapiens looked back at our evolutionary development, this new book examines where we might be headed (Homo Deus is subtitled “A Brief History of Tomorrow”). Predicting the future isn’t as easy as deconstructing the past, and Harari openly admits the challenge—but even if he’s completely wrong in his predictions, and most of us doubt he is, Homo Deus is the kind of provocative, food-for-thought read that drew so many of us to his work in the first place. According to Harari, our future could be very different from our present—dark, technocratic, and automated—but reading about our possible fates, presented in Harari’s clear-eyed and illuminating style, sure is fascinating. --Chris Schluep, The Amazon Book Review

Review

Praise for Sapiens: A Brief History of Humankind:
"Here is a simple reason why Sapiens has risen explosively to the ranks of an international bestseller. It tackles the biggest questions of history and of the modern world, and it is written in unforgettably vivid language." -- Jared Diamond, Pulitzer Prize-winning author of Guns, Germs, and Steel

Praise for Homo Deus:
“Homo Deus will shock you. It will entertain you. Above all, it will make you think in ways you had not thought before.” –Daniel Kahneman, author of Thinking, Fast and Slow

“Israeli Professor Harari is one of today’s most exciting and provocative thinkers. His innovative new book blends science, history and philosophy to explore the future of humanity in the face of artificial intelligence and examine whether our species will be rendered completely redundant.” –Cambridge Network

“Spellbinding. . . . This is a very intelligent book, full of sharp insights and mordant wit. . . . Its real power comes from the sense of a distinctive consciousness behind it. It is a quirky and cool book, with a sliver of ice at its heart. . . It is hard to imagine anyone could read this book without getting an occasional, vertiginous thrill. –The Guardian

“It’s a chilling prospect, but the AI we’ve created could transform human nature, argues this spellbinding new book by the author of Sapiens.” –The Guardian

“Nominally a historian, Harari is in fact an intellectual magpie who has plucked theories and data from many disciplines — including philosophy, theology, computer science and biology — to produce a brilliantly original, thought-provoking and important study of where mankind is heading.” –Evening Standard

“Harari’s work is . . . an unsettling meditation on the future. He’s opened a portal for us to contemplate on what kind of relationships we are forming with our data-crunching machines and whether ‘right’ must be determined by empirical evidence or good old ‘gut instinct.’” –The Hindu

“[Harari’s] propositions are well-developed, drawing upon a combination of science, philosophy and history. While the book offers a rather pessimistic and even nihilistic view of man’s future, it is written with wit and style and makes compelling reading.” –iNews

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File Size: 12846 KB
Print Length: 456 pages
Publisher: Harper; Reprint edition (February 21, 2017)
Publication Date: February 21, 2017
Sold by: HarperCollins Publishers
Language: English
ASIN: B01BBQ33VE
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Amazon Best Sellers Rank: #3,556 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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A mix of deft writing, sweeping ideas and incomplete speculation: 3.5 stars

January 5, 2017

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Yuval Noah Harari's "Homo Deus" continues the tradition introduced in his previous book "Sapiens": clever, clear and humorous writing, intelligent analogies and a remarkable sweep through human history, culture, intellect and technology. In general it is as readable as "Sapiens" but suffers from a few limitations.

On the positive side, Mr. Harari brings the same colorful and thought-provoking writing and broad grasp of humanity, both ancient and contemporary, to the table. He starts with exploring the three main causes of human misery through the ages - disease, starvation and war - and talks extensively about how improved technological development, liberal political and cultural institutions and economic freedom have led to very significant declines in each of these maladies. Continuing his theme from "Sapiens", a major part of the discussion is devoted to shared zeitgeists like religion and other forms of belief that, notwithstanding some of their pernicious effects, can unify a remarkably large number of people across the world in striving together for humanity's betterment. As in "Sapiens", Mr. Harari enlivens his discussion with popular analogies from current culture ranging from McDonald's and modern marriage to American politics and pop music. Mr. Harari's basic take is that science and technology combined with a shared sense of morality have created a solid liberal framework around the world that puts individual rights front and center. There are undoubtedly communities that don't respect individual rights as much as others, but these are usually seen as challenging the centuries-long march toward liberal individualism rather than upholding the global trend.

The discussion above covers about two thirds of the book. About half of this material is recycled from "Sapiens" with a few fresh perspectives and analogies. The most important general message that Mr. Harari delivers, especially in the last one third of the book, is that this long and inevitable-sounding imperative of liberal freedom is now ironically threatened by the very forces that enabled it, most notably the forces of technology and globalization. Foremost among these are artificial intelligence (AI) and machine learning. These significant new developments are gradually making human beings cede their authority to machines, in ways small and big, explicitly and quietly. Ranging from dating to medical diagnosis, from the care of the elderly to household work, entire industries now stand to both benefit and be complemented or even superseded by the march of the machines. Mr. Harari speculates about a bold vision in which most manual labor has been taken over by machines and true human input is limited only to a very limited number of people, many of whom because of their creativity and demand will likely be in the top financial echelons of society. How will the rich and the poor live in these societies? We have already seen how the technological decimation of parts of the working class was a major theme in the 2016 election in the United States and the vote for Brexit in the United Kingdom. It was also a factor that was woefully ignored in the public discussion leading up to these events, probably because it is much easier to provoke human beings against other human beings rather than against cold, impersonal machines. And yet it is the cold, impersonal machines which will increasingly interfere with human lives. How will social harmony be preserved in the face of such interference? If people whose jobs are now being done by machines get bored, what new forms of entertainment and work will we have to invent to keep them occupied? Man after all is a thinking creature, and extended boredom can cause all sorts of psychological and social problems. If the division of labor between machines and men becomes extreme, will society fragment into H. G. Wells's vision of two species, one of which literally feeds on the other even as it sustains it?

These are all tantalizing as well as concerning questions, but while Mr. Harari does hold forth on them with some intensity and imagination, this part of the book is where his limitations become clear. Since the argument about ceding human authority to machines is also a central one, the omission also unfortunately appears to me to be a serious one. The problem is that Mr. Harari is an anthropologist and social scientist, not an engineer, computer scientist or biologist, and many of the questions of AI are firmly grounded in engineering and software algorithms. There are mountains of literature written about machine learning and AI and especially their technical strengths and limitations, but Mr. Harari makes few efforts to follow them or to explicate their central arguments. Unfortunately there is a lot of hype these days about AI, and Mr. Harari dwells on some of the fanciful hype without grounding us in reality. In short, his take on AI is slim on details, and he makes sweeping and often one-sided arguments while largely skirting clear of the raw facts. The same goes for his treatment for biology. He mentions gene editing several times, and there is no doubt that this technology is going to make some significant inroads into our lives, but what is missing is a realistic discussion of what biotechnology can or cannot do. It is one thing to mention brain-machine interfaces that would allow our brains to access supercomputer-like speeds in an offhand manner; it's another to actually discuss to what extent this would be feasible and what the best science of our day has to say about it.

In the field of AI, particularly missing is a discussion of neural networks and deep learning which are two of the main tools used in AI research. Also missing is a view of a plurality of AI scenarios in which machines either complement, subjugate or are largely tamed by humans. When it comes to AI and the future, while general trends are going to be important, much of the devil will be in the details - details which decide how the actual applications of AI will be sliced and diced. This is an arena in which even Mr. Harari's capacious intellect falls short. The ensuing discussion thus seems tantalizing but does not give us a clear idea of the actual potential of machine technology to impact human culture and civilization. For reading more about these aspects, I would recommend books like Nick Bostrom's "Superintelligence", Pedro Domingos's "The Master Algorithm" and John Markoff's "Machines of Loving Grace". All these books delve into the actual details that sum up the promise and fear of artificial intelligence.

Notwithstanding these limitations, the book is certainly readable, especially if you haven't read "Sapiens" before. Mr. Harari's writing is often crisp, the play of his words is deftly clever and the reach of his mind and imagination immerses us in a grand landscape of ideas and history. At the very least he gives us a very good idea of how far we as human beings have come and how far we still have to go. As a proficient prognosticator Mr. Harari's crystal ball remains murky, but as a surveyor of past human accomplishments his robust and unique abilities are still impressive and worth admiring.

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Flatiron John

Skip the crass caricature of humanism. Go to Part 3, a disturbing prediction of big-data dystopia.

February 17, 2017

Format: HardcoverVerified Purchase

This book is a mixed bag. It has three parts. The first is a review of some of the concepts explored in Harari's earlier book Sapiens. It elaborates on the fascinating concept of "intersubjective reality", whereby concepts that are shared in our collective imagination have great power to shape our objective reality; examples given include money, corporations, pop-culture brands, and religions. Part 1 is engaging and insightful, and deserves 4/5 stars.

Part 2 is a critique of what Harari calls "humanism". He really dislikes humanism: he inaccurately states its tenets, and then repeatedly mocks it (for example, as promoting indulgent consumerism and sex). He claims that humanism is what is giving rise to an emerging cybernetic dystopia, described in Part 3.

Harari is abusing the word "humanism," as a canvas on which to paint his caricature of modern liberal culture ("liberal" in the classical sense, not in the sense of left-wing politics). He is not really interested in what humanist writers and philosophers have actually said, and does not reference their works. He claims that humanism promotes the belief in a supernatural free will (when in fact, humanists value agency and freedom, but have differing opinions on free will). He claims that humanism believes in an indivisible self/soul (when in fact, psychologists since Freud have a different understanding). And he claims that humanism believes that individuals always know best about their own needs (when in fact, many have emphasized the importance of education in our development--he does not even reference John Dewey). Harari also co-opts related terms that already have other established meanings, such as "evolutionary humanism" and "liberal humanism".

If you want to understand humanism or other social-political movements of the 19th and 20th centuries, Harari will lead you astray. Part 2 deserves only 2/5 stars.

Part 3 is a dire prediction for humanity's future, as genetic engineering, AI, and human-machine interface technologies advance. Harari gives several scenarios, each of which are described very plausibly as future extrapolations of current trends. These scenarios are thought provoking and disturbing--we as a society should be taking them more seriously. There is an interesting discussion of an emerging religion/ideology of "dataism", wherein moral worth depends on the ability to enhance data flow, rather than on consciousness. Part 3 deserves 4/5 stars.

For most of the book, Harari appears to be adopting a materialistic perspective, and one which is also extremely unsentimental and discounts the significance of human morale and character. He pretends to assume that human beings are nothing more than algorithms.

However, some of his arguments (against the existence of an indivisible self, against free-will) are similar to those in Buddhism. He also discusses how animals and people have consciousness and subjective experiences, and presumes that artificial intelligence will remain unconscious (the "weak AI" hypothesis of John Searle).

And on the very last page, he makes us wonder if his hardcore materialistic perspective has just been a long, extended ruse: he asks us to question a worldview that would deny the significance of consciousness. So it seems likely that in a future book he will focus on the nature of consciousness, and argue for non-theistic Buddhism (an understated agenda in Harari's writing--perhaps he thinks that this is the way for humanity to avoid the grim fate predicted here?).

The reader concerned about techno-dystopia may also be interested in "Weapons of Math Destruction," by Cathy O'Neil.

[Update 6/13/2017: see the comment below, by kaiser100, for further insight into Harari's perspective on consciousness and meditation. The comment begins with "Harari indeed believes that developing an understanding of consciousness, a science of mind, or however else one wishes to phrase it is the best and perhaps the only way to avert the grim fate that threatens humanity in this century."]

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#####EOF##### Practical Packet Analysis, 3E: Using Wireshark to Solve Real-World Network Problems: Chris Sanders: 9781593278021: Amazon.com: Books

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Practical Packet Analysis, 3E: Using Wireshark to Solve Real-World Network Problems 3rd Edition

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It’s easy to capture packets with Wireshark, the world’s most popular network sniffer, whether off the wire or from the air. But how do you use those packets to understand what’s happening on your network?

Updated to cover Wireshark 2.x, the third edition of Practical Packet Analysis will teach you to make sense of your packet captures so that you can better troubleshoot network problems. You’ll find added coverage of IPv6 and SMTP, a new chapter on the powerful command line packet analyzers tcpdump and TShark, and an appendix on how to read and reference packet values using a packet map.

Practical Packet Analysis will show you how to:
–Monitor your network in real time and tap live network communications
–Build customized capture and display filters
–Use packet analysis to troubleshoot and resolve common network problems, like loss of connectivity, DNS issues, and slow speeds
–Explore modern exploits and malware at the packet level
–Extract files sent across a network from packet captures
–Graph traffic patterns to visualize the data flowing across your network
–Use advanced Wireshark features to understand confusing captures
–Build statistics and reports to help you better explain technical network information to non-techies

No matter what your level of experience is, Practical Packet Analysis will show you how to use Wireshark to make sense of any network and get things done.

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"A wealth of information. Smart, yet very readable, and honestly made me excited to read about packet analysis." --TechRepublic

"I'd recommend this book to junior network analysts, software developers, and the newly minted CSE/CISSP/etc.--folks that just need to roll up their sleeves and get started troubleshooting network (and security) problems." --Gunter Ollmann, former Chief Technical Officer of IOActiveÂ

"The next time I investigate a slow network, I'll turn to Practical Packet Analysis. And that's perhaps the best praise I can offer on any technical book." --Michael W. Lucas, author of Absolute FreeBSD and Network Flow AnalysisÂ

"An essential book if you are responsible for network administration on any level." --Linux Pro MagazineÂ

"A wonderful, simple-to-use, and well-laid-out guide." --ArsGeek.comÂ

"If you need to get the basics of packet analysis down pat, this is a very good place to start." --StateofSecurity.comÂ

"Very informative and held up to the key word in its title, practical. It does a great job of giving readers what they need to know to do packet analysis and then jumps right in with vivid real-life examples of what to do with Wireshark." --LinuxSecurity.comÂ

"Are there unknown hosts chatting away with each other? Is my machine talking to strangers? You need a packet sniffer to really find the answers to these questions. Wireshark is one of the best tools to do this job, and this book is one of the best ways to learn about that tool." --Free Software MagazineÂ

"Perfect for the beginner to intermediate." --Daemon News

About the Author

Chris Sanders is a computer security consultant, researcher, and educator. He is the author of Applied Network Security Monitoring and blogs regularly at ChrisSanders.org. Chris uses packet analysis daily to catch bad guys and find evil.

Paperback: 368 pages
Publisher: No Starch Press; 3 edition (March 30, 2017)
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ISBN-10: 1593278020
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Mr. KS

Great book to add to the toolbox

September 5, 2017

Format: PaperbackVerified Purchase

Had to troubleshoot a slow WLAN/LAN. Telnet sessions from wireless clients to an AS400 were excruciatingly slow for the users. Needsless to say chapter 10 of this book was on the money. TCP retransmissions from both the wireless clients and two different servers show the problem to be near the wlan controller and/or Cisco WAN appliance. Great book to add to the toolbox.

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Jim Johnson

A Concise But Thorough Guide To Understanding The Packets on Your Network

February 11, 2012

Format: PaperbackVerified Purchase

The book starts out with some requisite background knowledge about networking needed to understand the packets that will be analyzed. This will not make you a networking expert, but it is very informative for the newcomer and a great refresher for the oldies. After learning about the basics of networking and comparing layer 1, 2, and 3 devices, the book explains techniques for successfully sniffing traffic. The author does not steer clear of the valuable (but sometimes controversial) ARP Cache Poisoning and flood attacks that frequently work for sniffing through a switch.

The author also compares WIreshark (the selected sniffing tool) to some of the others, and clearly explains why he made the choice to use Wireshark. Time is spent familiarizing the reader with using Wireshark, covering installation and usage. The author also discusses how to write filters for capturing and displaying, which is essential to properly use the tool to wade through all the clutter. Finally, the packets that are typically found on a network are discussed and analyzed. The author points out many useful things that can be discovered by zeroing in on things like client/server latency (at different points throughout the TCP handshake) DNS abnormalities, and strange packets.

Also Security implications and intrusion detection are discussed, which I found to be extremely informative for the typical network administrator. FInally some real world scenarios are presented, at which point we examine real life packets to determine the cause of the network problems. This exercise was very helpful to tie in the previous knowledge with a practical hands on approach. Also much appreciated were the example packets. The author provides capture files that can be downloaded from his web site that allow you to follow along easily without requiring you to sniff the packets yourself. Screenshots are provided for those who don't have access to a computer with Wireshark installed, so it is easy to follow along regardless of your situation.

A very logical and easy to follow flow, mixed with excellent writing style make this a must read for any administrator. It is not a massive esoteric tome like a lot of the other books in its class, which makes it an excellent choice. Highly recommended!

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Tina

Good book for beginners

May 18, 2016

Format: PaperbackVerified Purchase

I am completely new to networking, I have a minimal amount of exposure to Wireshark through classwork but I was still able to follow along with the examples in the book! Chris did a great job at explaining and labeling all of the important information. If you are looking to get familiar with both computer networking and Wireshark this is a must have

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V. Kulkarni

Easy to follow along

December 22, 2018

Format: PaperbackVerified Purchase

This book is easy to follow along because the packet captures can be downloaded for free and viewed in Wireshark. This makes the book interactive as the reader can take closer looks at the packet captures referenced. A great resource for learning not just Wireshark but also basics of networking and cyber security.

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Abs

It's a good start for novice level

June 28, 2017

Format: PaperbackVerified Purchase

I think this is a good book for a beginner or novice who would really benefit from examining some common use cases for traffic analysis. I feel the uses cases however are pretty simple and straight-forward and would not benefit a benefit a person who already has a year-plus of analysis under their belt. Don't expect this book to elaborate on the the protocol specifications for the protocols in the use cases. So if you are looking at a DNS example, understand how DNS works (via the RFC) before expecting to be able hit-the-ground running diagnosing DNS problems.

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ghe

Good book

June 19, 2018

Format: PaperbackVerified Purchase

There's some stuff on Wireshark, but the explanations of the way IP works are the best I've ever seen.

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C I

Great Refresher

January 13, 2019

Format: Kindle EditionVerified Purchase

Somethings that I forgot over the years, it is great for someone who is experienced and ESPECIALLY for a beginner. You will learn what you need to know about networks in a fun way.

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Kenneth B. Paton

Didn't know WireShark had so many uses

May 8, 2012

Format: PaperbackVerified Purchase

WireShark is a tool that most of us in the IT world know and have used at least once. This book takes the use of this tool to new levels. There are some uses that I had to question and there are some that are amazing. The book covers many different and real world scenarios that can be used as a building block for other purposes. In the beginning of the book, I found myself somewhat bored with the material, but towards the middle and end I very much enjoyed realizing how much more I could use WireShark for troubleshooting and saving time. I highly recommend this book for those who use wireshark, and those who troubleshoot both network and server/workstation related problems.

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#####EOF##### Sam the Cat: and Other Stories (Vintage Contemporaries) - Kindle edition by Matthew Klam. Literature & Fiction Kindle eBooks @ Amazon.com.

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The New Yorker magazine named Matt Klam one of the twenty best young writers in America, and the seven stories that comprise Sam the Cat are all the proof we need.

Knowing, perceptive, and wickedly funny, Matt Klam loves his characters but spares them nothing: the swaggering womanizer Sam falls in love with a woman across a crowded room who, upon closer inspection, turns out to be not quite what he expected; a self-doubting young professional attends the posh wedding of his successful friend and delivers a disastrous toast; the chicken one man?s girlfriend is preparing for dinner comes to embody the darkly corrosive element in their relationship. These stories crackle with humor, intelligence and style and add up to an outrageously funny, unforgettable debut.

Length: 260 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
Page Flip: Enabled	Audible book: Audible book Switch back and forth between reading the Kindle book and listening to the Audible book with Whispersync for Voice. Add the Audible book for a reduced price of $7.49 when you buy the Kindle book. Available

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Editorial Reviews

Amazon.com Review

Matthew Klam's male narrators in Sam the Cat hate and need women in equal measure. By and large they're not physically violent men, but they do possess a certain free-floating aggression--the byproduct of sad childhoods, dads who treated them like losers, and moms who weren't quite all there. Indeed, throughout this troubling, masterfully written collection of stories, women never seem truly present, however central they may be. As the typically indiscriminate narrator of "Not This" explains, his girlfriend "fit my idea of the supreme woman. Why? Who gives a shit. We fell in love."

In the title story, which catapulted the author into the spotlight when it ran in The New Yorker, a guy goes out looking to get laid, then finds himself hitting on a man in drag. Other potential mates turn out to be only nominally less ersatz, with eyes "like a plastic doll's." Klam's men know that they're supposed to locate love somewhere among these zombies, but they can't find it, and this fills them with irritation and angry longing. Cumulatively, his stories paint a grim picture indeed: one of a bitter, stifled heterosexuality, leading straight to violence or to varying degrees of lifelessness. His taut, spooky prose recalls another connoisseur of erotic disappointment, Lorrie Moore. But where Moore is partial to neurotic women, Klam's subject is the guy who wishes he could transcend himself and be redeemed from the small and angry America in which he's stuck. --Emily White

From Publishers Weekly

Prosperous, morally addled young Americans wallow and flail in a glossy, unsettling consumer wonderland in Klam's unnervingly dead-on debut collection of seven long stories. Capturing contemporary speech and thought patterns as few writers can, Klam practically channels his protagonists, allowing them to inhabit him rather than the other way around. In the hilarious title story, a testosterone-crazed advertising executive is forced to reconsider his sexuality when he is unexpectedly attracted to another man. Klam's choppy, declarative sentences perfectly capture the comedy of a dissolute serial monogamist raging against self-discovery and the poignant confusion that such discovery brings. In "Linda's Daddy's Loaded," a wealthy father spoils his daughter and her husband so much that the couple is nearly driven apart, longing for the days when they struggled together in relative poverty. Deftly manipulating symbols and disjunctive prose, Klam explores the existential vacuum that threatens when the American Dream is obediently followed. "The Royal Palms," an O. Henry Award-winning story, is an elegantly composed tale in which the mutely explosive disappointments of a failed marriage are silhouetted against the backdrop of a Caribbean paradise. Other psychologically penetrating entries include "Not This," about a man who relishes the possibility of donating sperm to his pompous older brother's wife, and "Issues I Dealt With in Therapy," about the reunion of two college friends at a wedding and the collision of past idealism with recent imperatives of success. Throughout the collection, Klam demonstrates his mastery of the fine art of irony, exposing the nerve endings of his complex, often tormented, sometimes funny, characters, while allowing the reader to make his or her own judgments. (May) FYI: In 1999, Klam was named one of the 20 best young fiction writers in America by the New Yorker.
Copyright 2000 Reed Business Information, Inc.

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Product details

File Size: 1670 KB
Print Length: 260 pages
Publisher: Vintage (December 15, 2010)
Publication Date: December 15, 2010
Sold by: Random House LLC
Language: English
ASIN: B004EPYWII
Text-to-Speech: Enabled

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Not Enabled

Word Wise: Enabled
Lending: Not Enabled
Screen Reader: Supported

Enhanced Typesetting: Enabled

Amazon Best Sellers Rank: #557,357 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #702 in Cooking Humor
- #1241 in Literary Satire Fiction
- #1351 in U.S. Short Stories

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Maija Jespersen

Stories of sefish men

January 14, 2018

Format: Kindle EditionVerified Purchase

Intriguingly written stories about revoltingly narcissistic men who seem to get laid anyway--or rather the same man with different girlfriends. Good lord, is this what white collar dating is like? Count me out! On the plus side, it is a window into the whole "men are pigs" psychology, which seems to be based on equal parts self-loathing and laziness. As a statement of modern alienation, it is more annoying than profound because in every case, the situation could have been saved with the merest shred of empathy or gratitude. All this book made me feel was tragic sympathy for the women, and the desire to delete my Match.com account.

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J. Luiz

A critically acclaimed -- and often humorous -- portrait of male misery

April 10, 2011

Format: PaperbackVerified Purchase

This much-acclaimed collection still may be one that average readers (and not book critics) will either love or hate. It's obvious why Klam has won so much critical phrase. He has a very distinct and unique voice. All of the stories are told in the 1st person except for the final story, "European Wedding," which rotates point of view among the bride, groom, and an older man who thinks he's the bride's biological father. All of the narrators in the 1st person stories, and the groom in the final one, are disaffected young men - who have trouble connecting with their partners and the other people in their lives. They may worship their significant other's bodies, but there's little else about their partners that they take joy in.

That may be the problem for some readers - no one's dealing with tragic circumstances here. All the problems are of the navel-gazing variety - young men who can't be happy even though they're dating beautiful women, taking exotic vacations, getting millions of dollars from their father-in-law or getting married on a beautiful French estate. (We should all have such problems!)

If that doesn't bother you, and you're willing to read about the neuroses we all carry around that make it difficult to enjoy the good things life delivers, then you can't help but admire how effectively Klam explores male discontent. As many reviewers have noted he is absolutely fearless in exploring how far our darker sides can take us: a "yes" man whose only escape is beating on his dog, a fiancé who acts out his reservation about his marriage by sleeping with a woman he's repulsed by, a guy who belittles and ridicules his best friend in a wedding rehearsal dinner toast when he should be paying tribute to him.

It's a chronicle of men behaving badly, driven by their angst and ennui. Ironically, the most likeable character here is one the who might have everyone scratching their heads. It's not clear whether the narrator in the opening story, "Sam the Cat," is gay or not gay, but his passion for a guy who has suddenly captured his interest and his willingness to take chances and make a fool of himself in the process demonstrates a drive, ambition and life force that many of the characters in the stories that follow don't possess.

The seven stories in the collection are:

1. Sam the Cat - 26 pp - A story that garnered a lot of attention when it first appeared in The New Yorker. Sam is a ladies' man who becomes obsessed with a guy he first mistakes for a woman. He brings the guy flowers and even puts on make-up, hoping he'll look better for him. It's not clear if Sam is realizing he's gay or is simply bored with his endless and easy conquests of women and is now excited by the opportunity to gain something he's never had - when the risks of failing and making a fool of himself are all still in the cards.

2. Not This - 35 pp - Vince, a man with women troubles, escapes from his New Haven home to spend Labor Day Weekend at his brother's in New Jersey. He's assumed his brother has it all - a good job, a beautiful wife, a nice home by the water. But when he spends more time with them, he discovers the grass isn't so green down in New Jersey - his brother does PR for the legitimate businesses run by a Mafia family and the brother and his wife may not be able to have children. His brother asks Vince if he'll be a sperm donor, which makes it harder to be around the beautiful wife, especially when she's in her bikini. The brother has to remind Vince, "The doctor does the transfer, not you."

3. The Royal Palms - 29 pp - A couple on a Caribbean vacation are struggling to get their marriage back on track. The wife, fearing she's put on too much weight to still be attractive, is no longer interested in sex. They meet another vacationing couple that seem to have it all together - they're fit, attractive, and have interesting careers. They get drawn into their circle only to discover their marriage is in worse shape than their own. The days and interaction with the other lost souls on the island offer some hope of renewal for their marriage.

4. Linda's Daddy's Loaded - 28 pp - A young husband wonders if his wife has lost all her ambition and drive because her rich father - a TV news anchor - has showered them with money. They live an extremely affluent life, but the husband knows something's not quite right with everything coming so easy. When the father - whom they've had very little interaction with comes to visit - the husband's anger at being nothing more than the recipients' of his largesse angers him and he takes it out on their dog. Every problem he encounters - getting sick of his job - is addressed through the father's money and contacts. Even though he knows things were better when they were younger and struggling, the easy road is too hard to turn down.

5. There Should Be a Name for It - 22 pp - A young co-habiting couple very much in love had to deal with getting pregnant. The man wasn't ready and talked his girlfriend into getting an abortion. An argument that erupts while they're preparing a chicken dinner -- with the uncooked chicken feeling like a representation of the unborn baby -- makes it clear how upset the woman still is over what they did. While they remain together, it becomes clear the decision they made will continue to color their relationship.

6. Issues I Dealt With in Therapy - 48 pp - A young man travels with his doctor girlfriend to a lavish resort for the wedding of his good friend. He hardly sees him anymore because his friend has become a big-time wheeler/dealer in the Democratic party during the Clinton Administration. While the narrator still has a small-time job as an activist at a "nonprofit that attacked the military-industrial complex," the narrator can't help but feel jealous that his friend has accomplished so much more than he has, even though he sees the emptiness in his friend's life. The friend's main preoccupation during the weekend is whether Al Gore will helicopter in for the weekend and leave his friends duly impressed with how important and connected he is. The narrator's jealousy reaches a boiling point when he has to give a toast to the friend during the rehearsal dinner. While dealing with all this, the narrator also has to sort through the mixed feelings he has about the doctor he's involved with, whom he hardly ever sees because of the demands of her career.

7. European Wedding - 51 pp - A man flies to France to get married in a house that was in his future mother-in-law's family for centuries. The man has such deep misgivings about the wedding he sleeps with an overweight woman he has a business association with and who repulses him the night before he has to leave for France. Once at the family home in the French countryside, he is surrounded by women - mothers, sisters, cousins. All the men, who were scheduled to arrive later, get stranded in the United States because of a hurricane. The only other man on the premises is an older gentleman who suspects he may by the bride's biological father because he slept with the bride's mother when her husband was dying. Knowing nothing of this, but chasing her own demons, the bride keeps quizzing this man, looking for some tortured history about the house and her mother's family. She half hopes to discover her family might have been Nazi sympathizers, in the strained hope that such a legacy could explain why she is so unhappy. Surrounded by family, neither the bride nor the groom feels ready to take on the big adventure they both have deep reservations about.

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Amazon Customer

You must like the unlikable

July 17, 2017

Format: Kindle EditionVerified Purchase

Half these stories are great. All are intriguing. But to get through them-- I did it quickly-- you need a tolerance for privileged white dudes who can't find happiness no matter where they look.

3 people found this helpful

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Irene Bartholomew

Five Stars

October 31, 2017

Format: Kindle EditionVerified Purchase

Fabulous.

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mattie matthews

Sam the Cat

June 20, 2000

Format: HardcoverVerified Purchase

I couldn't put it down. I laughed so much. I've been giving it to all my friends. It's such a perfect gift because everyone can relate to someone in Matthew's world. I can't wait for his novel. I've even joined his fan club.

5 people found this helpful

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Amazon Customer

Dismal

October 23, 2015

Format: Kindle EditionVerified Purchase

I was so disappointed in this book. It was recommended by The Master himself,Stephen King, in the introduction of his book Everything's Eventual. I love, love, love the short story format. Sam the Cat seems disjointed and difficult to read. The story themes seemed almost the same through each short story. Boring. I guess I am just spoiled rotten by Stephen King's writing style. I did read each story and I was not sad when the book was finished. All I could think was "Well, that was wasted time out of my life that I can't get back. " My usual feeling when I finish a good book is much different. I'm usually sad it's over and I want more. I won't be seeking other books by this author.

4 people found this helpful

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Christopher Romito

Pretty basic

September 11, 2017

Format: Kindle EditionVerified Purchase

Lame. Not very interesting. It's on the level of the tucker max garbage, but tries to be deeper about the douchiness.

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MKS

Four Stars

July 18, 2017

Format: PaperbackVerified Purchase

Love this writing

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From global automakers and Tier I automotive suppliers to the latest mobility startup, Amazon Web Services (AWS) is helping automotive companies to build innovative connected products and services for every touchpoint of the customer journey. Our secure, agile and scalable platform can help accelerate your pace of innovation, improve your security posture and lower your IT cost structure.

With AWS you can focus your resources on building differentiated automotive brand experiences for your customers, rather than managing IT infrastructure.

Learn how AWS enables automotive companies to deliver innovative experiences at every touchpoint.

What's new

Avis Budget Group Connected Car Platform

Avis Budget Group (ABG) announced its plans to use the AWS Connected Vehicle Solution for it's global connected car platform. ABG will leverage AWSâs capabilities for Artificial Intelligence (AI), Machine Learning (ML), and Data Management to develop a wide variety of innovative connected vehicle applications and mobility services.

Learn More »

AWS Partners with Formula 1 to Optimize Racing

To accelerate its cloud transformation, the Formula One Group is moving the vast majority of its infrastructure from on-premises data centers to AWS and standardizing on AWSâs machine-learning and data-analytics services to optimize racing and improve the fan experience.

Learn more »

Explore Use Cases Across the Automotive Value Chain

AWS provides services for the Automotive industry to enable your digital transformation at every point of the value chain.

Connected Vehicles and Mobility

AWS offers a comprehensive set of services to gather, process, analyze and act on vehicle data at global scale with local computing capabilities allowing you to execute functions and act on data within the vehicle, even when connectivity is interrupted. Rapidly develop and deploy innovative connected vehicle applications to provide personalized, intuitive, intelligent and safe interactions for an advanced in-vehicle experience while reducing connectivity costs.

Over-the-Air (OTA) Vehicle Management
Vehicle Monitoring/Predictive Analytics
Location Based Services

Learn more »

Digital Customer Engagement

AWS' suite of cloud services provides advanced digital marketing tools and highly scalable infrastructure allowing you to modernize your marketing platforms and provide a personalized, engaging automotive experience at every touchpoint. Provide smart on-demand content, develop intelligent AI conversational agents, and use machine learning to predict customer behavior and provide insights that drive business results.

Omnichannel Marketing
Smart Content Creation
Chatbots

Learn more »

ADAS & Autonomous Vehicles

AWS provides a full suite of services to support Advanced Driver Assistance Systems and Autonomous Vehicle development and deployment with nearly unlimited storage and compute capacity, support for popular deep learning frameworks to accelerate your algorithm training and testing and edge computing with machine learning inference capabilities for real-time processing of local rules and events in the vehicle.

Data Collection / Ingestion / Storage
Model Training and Simulation
In-vehicle Runtime Processing

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Manufacturing and Supply Chain

Smart Factory/Industrie 4.0
Supply Chain Management
Predictive Maintience

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AWS-for-Automotive_Design-and-Engineering

Product Design and Engineering

Product Design
Simulation

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Automotive Retail and Services

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Benefits

Technologies for Innovation

AWS' wide array of services for automotive applications, including IoT, AI and machine learning, allow you to develop advanced connected experiences and innovative ways to engage with your customers' digital lifestyle.

Agility & Scalability

With AWS' serverless, microservices-based architecture and edge computing capabilities you have a powerful, agile innovation platform to create, test and scale any automotive workload, while reducing costs.

On-Demand Capabilities

Accelerate your product development speed using AWS' highly scalable compute capacities to power through specialized simulations and analysis like Autonomous Vehicle development, crash simulations and CFD modeling.

Data Security

AWS' services have been designed to meet the requirements of the most security-sensitive organizations to ensure your data is protected, and fine-grained access controls provide you with full management of data visibility.

Hot Topic

Using AI to Personalize Your Brand Experience

AWS Machine Learning products like Amazon Rekognition and voice services including Amazon Alexa allow automotive brands to create a tailored brand experience for their customers. AWS Greengrass provides edge computing capabilities to ensure a consistent experience, even when there is a loss of connectivity.

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Customer Stories

Leading automotive companies use AWS to empower their digital transformationthrought the value chain. Click on the logos to learn more.

Get started

Automotive companies of all types and sizes, from global automakers to startups rely on AWS. Contact our experts and start your own AWS Cloud journey today.

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#####EOF##### AWS Marketplace: Homepage

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Popular Categories

Customer Success Stories

Rent-A-Center

Mark Speese, founder and CEO

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Simplify SaaS Procurement with AWS Marketplace

âAWS Marketplace helps us quickly subscribe to new SaaS solutions like Qubole. Payment is easy because we reuse our existing AWS payment terms.â

âThe ability to access next generation cloud-native services like Sumo Logic while simplifying the procurement and billing experience provides tremendous value through AWS Marketplace.â

âSaaS Subscriptions makes it easy to purchase and provision AWS-integrated services. We were up and running with Cloudyn in two clicks.â

Featured SaaS Products

Featured Machine Learning Products

Featured Container Products

New Product Spotlight

Sell in AWS Marketplace

Come find out how to list your product and leverage this channel today.

#####EOF##### Web Hosting - Amazon Web Services (AWS)

Web Hosting

Amazon Web Services offers cloud web hosting solutions that provide businesses, non-profits, and governmental organizations with low-cost ways to deliver their websites and web applications. Whether youâre looking for a marketing, rich-media, or ecommerce website, AWS offers a wide-range of website hosting options, and weâll help you select the one that is right for you.

Why use AWS for web hosting?

Broad platform support

With AWS, you can use whatever CMS you like, including WordPress, Drupal, Joomla, and more. AWS also supports and provides SDKs for popular platforms like Java, Ruby, PHP, Node.js, and .Net.

Datacenters worldwide

Your customers can be anywhere in the world. With AWS you can have a datacenter or CDN hosting your website in any geography you choose with just a few mouse clicks.

Scalable from day one

Website traffic can fluctuate a lot. From quiet times in the middle of the night, to campaign driven, social media sharing traffic spikes, AWS infrastructure that can grow and shrink to meet your needs.

Flexible pricing models

AWS only charges you for the resources you use, with no up-front costs or long-term contracts. AWS has web hosting options that offer pay-as-you-go pricing or fixed monthly pricing.

AWS Website Solutions

Simple Website Hosting

Simple websites typically consist of a single web server which runs either a Content Management System (CMS), such as WordPress, an eCommerce application, such as Magento, or a development stack, like LAMP. The software makes it easy to build, update, manage, and serve the content of your website.

Simple websites are best for low to medium trafficked sites with multiple authors and more frequent content changes, such as marketing websites, content websites or blogs. They provide a simple starting point for website which might grow in the future. While typically low cost, these sites require IT administration of the web server and are not built to be highly available or scalable beyond a few servers.

Best for:

Websites built on common applications like WordPress, Joomla, Drupal, Magento
Websites built on popular development stacks like LAMP, LEMP, MEAN, Node.Js
Websites that are unlikely to scale beyond 5 servers
Customers who want to manage their own web server and resources
Customers who want one console to manage their web server, DNS, and networking

Use Amazon Lightsail:

Amazon Lightsail is the easiest way to launch and manage a Web server using AWS. Lightsail includes everything you need to jumpstart your Website â a virtual machine, SSD-based storage, data transfer, DNS management, and a static IP â for a low, predictable price.
You can get started using Lightsail for your website with just a few clicks. Choose the operating system or application template that's best for your website, and your virtual private server is ready in less than a minute. You can easily manage your web server, DNS, and IP addresses directly from the Lightsail console.

Try Lightsail free for 1 month

Single Page Web App Hosting

Static web apps that require only a single load in a web browser are referred to as Single page web apps. All subsequent actions by the user are made available through HTML, JavaScript, and CSS that are pre-loaded in the browser. Backend data is accessed via GraphQL or REST APIs that fetch content from a data store and update the UI without requiring a page reload.

Single page web apps offer native or desktop app-like performance. They offer all the static website benefits (low cost, high levels of reliability, no server adminstration, and scalability to handle enterprise-level traffic) with dynamic functionality and blazing fast performance.

Best for:

Websites built with Single page app frameworks such as React JS, Vue JS, Angular JS, and Nuxt.
Websites built with static site generators such as Gatsby JS, React-static, Jekyll, and Hugo.
Progressive web apps or PWAs
Websites that do not contain server-side scripting, like PHP or ASP.NET
Websites that have serverless backends.

Use AWS Amplify Console:

The AWS Amplify Console provides a complete workflow for developing, deploying, and hosting single page web apps or static sites with serverless backends. You can add dynamic functionality to your app with the Amplify Framework, and then deploy it to your end users instantly with the Amplify Console. The Amplify Console offers a number of features:

Continuous deployment allows you to deploy updates to your web app on every code commit.
Deploy your app to a global audience using our CDN, Amazon CloudFront.
Set up your custom domain with HTTPS automatically enabled in a single click.
Work on new features without impacting production users with feature branch deployments.

Try AWS Amplify for free

Simple Static Website Hosting

Static websites deliver HTML, JavaScript, images, video and other files to your website visitors and contain no server-side application code, like PHP or ASP.NET. They typically are used to deliver personal or marketing sites.

Static websites are very low cost, provide high-levels of reliability, require no server administration, and scale to handle enterprise-level traffic with no additional work.

Best for:

Websites that do not contain server-side scripting, like PHP or ASP.NET
Websites that change infrequently with few authors
Websites need to scale for occasional intervals of high traffic
Customers who do not want to manage infrastructure

Use Amazon Simple Storage Service (Amazon S3):

Amazon S3 is object storage with a simple web service interface to store and retrieve any amount of data from anywhere on the web. It is designed to deliver 99.999999999% durability and scale past trillions of objects worldwide.

To use S3 for a static website, you simply upload files to an S3 bucket and configure your S3 bucket for web hosting.

Try Amazon S3 for free

Enterprise Web Hosting

Enterprise websites include very popular marketing and media sites, as well as social, travel, and other application-heavy websites. For example, Lamborghini, Coursera, and Nordstrom use AWS to host their websites. Enterprise websites need to dynamically scale resources and be highly available to support the most demanding and highly trafficked websites.

Enterprise websites use multiple AWS services and often span multiple data centers (called Availability Zones). Enterprise websites built on AWS provide high levels of availability, scalability, and performance, but require higher amounts of management and administration than static or simple websites.

Best for:

Websites that use multiple web servers across at least two data centers
Websites that need to scale using load balancing, autoscaling, or external databases
Websites that require sustained high CPU utilization
Customers who need maximum control and flexibility for their web server configuration and administration

Use Amazon Elastic Cloud Computing (Amazon EC2):

Amazon EC2 provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers and allows maximum scalability and availability for websites and web applications. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use.

To use EC2 to host your website, you will need to create and configure an EC2 instance in the AWS Management Console.

Try Amazon EC2 for free

#####EOF##### Amazon Web Services (AWS) â Layanan Komputasi Cloud

Lightsail

Segala yang Anda perlukan untuk memulai di AWSâuntuk harga yang rendah dan dapat diperkirakan

Amazon DynamoDB

Database nonrelasional yang dikelola sepenuhnya untuk berbagai skala

Pengembangan Aplikasi Tanpa Server

Temukan alat untuk menguji, menerapkan, dan memantau aplikasi tanpa server

110.000+ Database Telah Dimigrasi ke AWS

Hemat waktu & biayaâmigrasi ke database yang dikelola sepenuhnya

Jelajahi Produk Kami

Analitik

Amazon AthenaData kueri di S3 menggunakan SQL

Amazon CloudSearchLayanan pencarian terkelola

Amazon EMRKerangka Kerja Hadoop di-host

Amazon Elasticsearch ServiceMenjalankan dan menskalakan klaster Elasticsearch

Amazon KinesisMenganalisis video real-time dan aliran data

Amazon Managed Streaming untuk KafkaLayanan Apache Kafka yang dikelola sepenuhnya

Amazon RedshiftGudang data yang cepat, sederhana, serta hemat biaya

Amazon QuickSightLayanan analisis bisnis cepat

AWS Data PipelineLayanan orkestrasi untuk alur kerja berkala yang digerakkan data

AWS GlueMempersiapkan dan memuat data

AWS Lake FormationBangun data lake yang aman dalam hitungan hari

Integrasi Aplikasi

AWS Step FunctionsKoordinasi untuk aplikasi yang terdistribusi

Amazon MQBroker pesan terkelola untuk ActiveMQ

Amazon Simple Notification Service (SNS)Topik pesan yerkelola untuk pub/sub

Amazon Simple Queue Service (SQS) Antrean pesan terkelola

AWS AppSyncBuat aplikasi yang digerakkan oleh data dengan kemampuan real-time dan offline

AR & VR

Amazon SumerianMembuat dan menjalankan aplikasi VR dan AR

Manajemen Biaya AWS

AWS Cost ExplorerAnalisis biaya dan penggunaan AWS Anda

Anggaran AWSTetapkan biaya kustom dan anggaran penggunaan

Laporan Biaya dan Penggunaan AWSAkses informasi biaya dan penggunaan yang komprehensif

Pelaporan Instans CadanganPelajari lebih dalam tentang instans cadangan (RI) Anda

Blockchain

Amazon Managed BlockchainBuat dan kelola jaringan blokchain yang dapat diskalakan

Amazon Quantum Ledger Database (QLDB)Database ledger yang dikelola sepenuhnya

Aplikasi Bisnis

Alexa for BusinessBerdayakan organisasi Anda dengan Alexa

Amazon ChimeRapat, panggilan video, dan obrolan tanpa kesulitan

Amazon WorkMailMengamankan pengaturan kalender dan email

Komputasi

Amazon EC2Server virtual di cloud

Amazon EC2 Auto ScalingMenskalakan kapasitas komputasi untuk memenuhi kebutuhan

Amazon Elastic Container RegistryMenyimpan dan memulihkan citra docker

Amazon Elastic Container ServiceMenjalankan dan mengelola kontainer docker

Amazon Elastic Container Service for KubernetesMenjalankan Kubernetes terkelola di AWS

Amazon LightsailMeluncurkan dan mengelola server pribadi virtual

AWS BatchMenjalankan tugas batch di segala ukuran

AWS Elastic BeanstalkMenjalankan dan mengelola aplikasi web

AWS FargateMenjalankan kontainer tanpa mengelola server atau klaster

AWS LambdaMenjalankan kode tanpa memikirkan tentang server

AWS OutpostsJalankan infrastruktur AWS di lokasi

AWS Serverless Application RepositoryTemukan, terapkan, dan publikasikan aplikasi tanpa server

Elastic Load Balancing (ELB)Mendistribusikan lalu lintas masuk di beberapa target

VMware Cloud on AWSMembuat cloud hybrid tanpa perangkat keras khusus

Keterlibatan Pelanggan

Amazon ConnectLayanan pusat kontak berbasis cloud

Amazon PinpointKeterlibatan pengguna secara pribadi di seluruh saluran

Amazon Simple Email Service (SES)Pengiriman dan penerimaan email

Database

Amazon AuroraDatabase relasional terkelola berkinerja tinggi

Amazon DynamoDBDatabase NoSQL terkelola

Amazon DocumentDB (dengan kompatibilitas MongoDB)Database dokumen yang dikelola sepenuhnya

Amazon ElastiCacheSistem cache dalam memori

Amazon Neptune Layanan database grafik yang terkelola sepenuhnya

Amazon Quantum Ledger Database (QLDB)Database ledger yang dikelola sepenuhnya

Amazon RDSLayanan database relasional terkelola untuk MySQL, PostgreSQL, Oracle, SQL Server, dan MariaDB

Amazon RDS on VMwareAutomasi manajemen database di lokasi

Amazon RedshiftGudang data yang cepat, sederhana, serta hemat biaya

Amazon TimestreamDatabase rangkaian waktu yang dikelola sepenuhnya

AWS Database Migration ServiceMigrasikan database dengan waktu henti minimal

Alat Pengembang

AWS CodeStarMengembangkan dan menerapkan aplikasi AWS

Amazon CorrettoDistribusi OpenJDK siap produksi

AWS Cloud9Menulis, menjalankan, dan melakukan debug kode pada IDE cloud

AWS CodeBuildMembuat dan menguji kode

AWS CodeCommitMenyimpan kode dalam repositori Git pribadi

AWS CodeDeployMengotomatiskan penerapan kode

AWS CodePipelineMeluncurkan perangkat lunak menggunakan pengiriman berkelanjutan

AWS Command Line InterfaceAlat terpadu untuk mengelola layanan AWS

Alat dan SDK AWSAlat dan SDK untuk AWS

AWS X-RayMenganalisis dan melakukan debug pada aplikasi Anda

Komputasi Pengguna Akhir

Amazon AppStream 2.0Melakukan streaming aplikasi desktop dengan aman ke browser

Amazon WorkDocsMengamankan penyimpanan dan berbagi dokumen perusahaan

Amazon WorkLinkAktifkan akses seluler ke situs web internal

Amazon WorkSpacesDesktop virtual di cloud

Game Tech

Amazon GameLiftHosting server game khusus yang sederhana, cepat, serta hemat biaya

Amazon LumberyardMesin game 3D lintas platform gratis, dengan Sumber Lengkap dan terintegrasi dengan AWS dan Twitch

Internet of Things

AWS IoT CoreMenghubungkan perangkat ke cloud

Amazon FreeRTOSSistem operasi IoT untuk microcontroller

AWS GreengrassKomputasi, perpesanan, dan sinkronisasi lokal untuk perangkat

AWS IoT 1-ClickPembuatan dengan satu klik dari pemicu AWS Lambda

AWS IoT AnalyticsAnalisis untuk perangkat IoT

AWS IoT ButtonTombol dash cloud yang dapat diprogram

AWS IoT Device DefenderManajemen keamanan untuk perangkat IoT

AWS IoT Device ManagementMengelola perangkat IoT secara terpisah, teratur, dan dari jarak jauh

AWS IoT EventsDeteksi dan respons kejadian IoT

AWS IoT SiteWiseKolektor dan penafsir data IoT

AWS IoT Things GraphDengan mudah menghubungkan perangkat dan layanan web

AWS Partner Device CatalogKatalog terkurasi perangkat keras IoT yang kompatibel dengan AWS

Machine Learning

Amazon SageMakerMembuat, melatih, dan menerapkan model machine learning pada skala besar

Amazon ComprehendTemukan wawasan dan hubungan dalam teks

Amazon Elastic InferenceAkselerasi inferensi deep learning

Amazon ForecastTingkatkan akurasi perkiraan cuaca menggunakan machine learning

Amazon LexBangun chatbot suara dan teks

Amazon PersonalizeBangun rekomendasi real-time ke dalam aplikasi Anda

Amazon PollyUbah teks menjadi ucapan seperti nyata

Amazon RekognitionMenganalisis gambar dan video

Amazon SageMaker Ground TruthBangun rangkaian data pelatihan ML yang akurat

Amazon TextractEkstrak teks dan data dari dokumen

Amazon TranslatePenerjemahan bahasa alami dan fasih

Amazon TranscribePengenal ucapan otomatis

AMI Deep Learning AWSDeep learning mengenai Amazon EC2

AWS DeepLensKamera video berkemampuan deep learning

AWS DeepRacerMobil balap berskala 1/18 otonom, digerakkan oleh ML

AWS InferentiaChip inferensi machine learning

Apache MXNet di AWSKerangka kerja deep learning sumber terbuka yang dapat diskalakan

TensorFlow di AWSPustaka inteligensi mesin sumber terbuka

Manajemen & Tata Kelola

Amazon CloudWatchPantau sumber daya dan aplikasi

AWS Auto ScalingMenskalakan beberapa sumber daya untuk memenuhi kebutuhan

AWS CloudFormationMembuat dan mengelola sumber daya dengan templat

AWS CloudTrailMelacak aktivitas pengguna dan penggunaan API

AWS Command Line InterfaceAlat terpadu untuk mengelola layanan AWS

AWS ConfigLacak inventaris dan perubahan sumber daya

AWS Control TowerSiapkan dan kelola lingkungan multi-akun yang sesuai dan aman

AWS Console Mobile ApplicationAkses sumber daya di mana saja

AWS License ManagerLacak, kelola, dan kontrol lisensi

AWS Management ConsoleAntarmuka pengguna berbasis web

AWS Managed ServicesPengelolaan pengoperasian infrastruktur untuk AWS

AWS OpsWorksMengotomatiskan pengoperasian dengan Chef and Puppet

AWS Personal Health DashboardTampilan yang dipersonalisasi dari kesehatan layanan AWS

AWS Service CatalogMembuat dan menggunakan produk yang distandardisasi

AWS Systems ManagerMendapatkan wawasan operasional dan mengambil tindakan

AWS Trusted AdvisorMengoptimalkan kinerja dan keamanan

AWS Well-Architected ToolMeninjau dan meningkatkan beban kerja

Media Services

Amazon Elastic TranscoderTranscoding media yang dapat diskalakan yang mudah digunakan

Amazon Kinesis Video StreamsMemproses dan menganalisis aliran video

AWS Elemental MediaConnectTranspor video langsung yang andal dan aman

AWS Elemental MediaConvertMengonversikan konten video berbasis file

AWS Elemental MediaLiveMengonversikan konten video langsung

AWS Elemental MediaPackageDasar dan pengemasan video

AWS Elemental MediaStorePenyimpanan media dan origin HTTP sederhana

AWS Elemental MediaTailorPersonalisasi dan monetisasi video

Migrasi & Transfer

AWS Migration HubMelacak migrasi dari satu tempat

AWS Application Discovery ServiceTemukan aplikasi di lokasi untuk mempersingkat proses migrasi

AWS Database Migration ServiceMemigrasikan database dengan waktu henti minimal

AWS DataSyncTransfer data online yang sederhana dan cepat

AWS Server Migration Service Migrasikan server di lokasi ke AWS

AWS Snow FamilyPerangkat fisik untuk memigrasikan data ke dalam dan ke luar AWS

AWS Transfer for SFTPLayanan SFTP yang dikelola sepenuhnya

Mobile

AWS AmplifyMembangun dan menerapkan aplikasi seluler dan web

Amazon API GatewayMembangun, menerapkan, dan mengelola API

Amazon PinpointKeterlibatan pengguna secara pribadi di seluruh saluran

AWS AppSyncBuat aplikasi yang digerakkan oleh data dengan kemampuan real-time dan offline

AWS Device FarmMenguji aplikasi Android, iOS, dan web pada perangkat sesungguhnya di cloud AWS

Jaringan & Pengiriman Konten

Amazon VPCSumber daya cloud terpisah

Amazon API GatewayMembangun, menerapkan, dan mengelola API

Amazon CloudFrontJaringan pengiriman konten global

Amazon Route 53Sistem nama domain (DNS) yang dapat diskalakan

Amazon VPC PrivateLinkMengakses dengan aman ke layanan yang di-host di AWS

AWS App MeshPantau dan kontrol layanan mikro

AWS Cloud MapPenemuan layanan untuk sumber daya cloud

AWS Direct ConnectKoneksi jaringan khusus ke AWS

AWS Global AcceleratorMeningkatkan ketersediaan dan kinerja aplikasi

AWS Transit GatewayDengan mudah menskalakan koneksi VPC dan akun

Robotik

AWS RoboMakerMengembangkan, menguji, dan menerapkan aplikasi robotics

Satelit

AWS Ground StationStasiun bumi sebagai layanan yang dikelola sepenuhnya

Keamanan, Identitas & Kepatuhan

AWS Identity and Access Management (IAM)Mengelola akses pengguna dan kunci enkripsi

Amazon Cloud DirectoryMembuat direktori cloud-native yang fleksibel

Amazon CognitoManajemen identitas untuk aplikasi Anda

Amazon GuardDutyLayanan deteksi ancaman terkelola

Amazon InspectorMenganalisis keamanan aplikasi

Amazon MacieMenemukan, mengklasifikasi, dan melindungi data Anda

AWS ArtifactAkses berdasarkan permintaan terhadap laporan kepatuhan AWS

AWS Certificate ManagerMenyediakan, mengelola, dan meluncurkan sertifikat SSL/TLS

AWS CloudHSMPenyimpanan utama berbasis perangkat keras untuk kepatuhan peraturan

AWS Directory ServiceMelakukan host dan mengelola direktori aktif

AWS Firewall ManagerManajemen pusat aturan firewall

AWS Key Management ServicePembuatan dan kontrol kunci enkripsi terkelola

AWS OrganizationsPengelolaan berbasis kebijakan untuk beberapa akun AWS

AWS Secrets ManagerMerotasikan, mengelola, dan mengambil rahasia

AWS Security HubPusat keamanan dan kepatuhan terpadu

AWS ShieldProteksi DDoS

AWS Single Sign-OnLayanan cloud single sign-on (SSO)

AWS WAFMemfilter traffic web berbahaya

Penyimpanan

Amazon Simple Storage Service (S3)Penyimpanan yang dapat diskalakan di cloud

Amazon Elastic Block Store (EBS)Volume penyimpanan blok EC2

Amazon Elastic File System (EFS)Sistem file yang dikelola sepenuhnya untuk EC2

Amazon FSx for LustreSistem file intensif komputasi yang dikelola sepenuhnya

Amazon FSx for Windows File ServerSistem file native Windows yang dikelola sepenuhnya

Amazon S3 GlacierPenyimpanan arsip biaya terjangkau di cloud

AWS BackupPencadangan terpusat di seluruh layanan AWS

AWS Snow FamilyPerangkat fisik untuk memigrasikan data ke dalam dan ke luar AWS

AWS Storage GatewayIntegrasi penyimpanan hybrid

Lihat Semua Produk

Pemberdayaan Inovasi Pelanggan

Transformasi Perusahaan
Analisis Prediktif
Machine Learning
TANPA SERVER
Gaming
APLIKASI PERUSAHAAN

Transformasi Perusahaan
Capital One Mencitrakan Ulang Perbankan Menggunakan AWS

Pelajari cara Capital One mengimplementasikan strategi cloud pertama mereka melalui pendidikan, perencanaan jangka panjang, dan fokus konstan pada kebutuhan pelanggan.
Pelajari Selengkapnya

Fokus pada Pelanggan

Pada tahun 2014, Capital One memiliki bibit kemampuan cloud privat dan juga bereksperimen dengan AWS. Dalam usaha untuk membangun fitur yang diinginkan pelanggan secepat mengkin, perusahaan memilih menggunakan AWS.

Melakukan Bagian yang Berat Lebih Dulu

Keamanan dan kepatuhan adalah hal yang penting untuk Capital One sebagai lembaga keuangan. Untuk memenuhi kebutuhan ini, Capital One membangun kerangka kerja berisiko cloud dan mendirikan fungsi tata kelola cloud sebelum memindahkan satu pun beban kerja ke AWS.

Pendidikan: Kunci untuk Cloud

Capital One menawarkan program pelatihan cloud untuk teknisi yang bekerja langsung di AWS serta pemangku kepentingan non-teknis yang perlu mengadvokasi kekuatan komputasi cloud. Perusahaan kini berada di peringkat tiga teratas dari semua perusahaan secara global untuk sertifikasi AWS yang diadakan karyawan.

Menyadari Manfaat Cloud

Dengan menggunakan AWS, Capital One membawa produk baru ke pasar dalam waktu beberapa minggu alih-alih bulan atau tahun, menggunakan machine learning untuk meningkatkan pengalaman pelanggan, serta menarik pengembang dan teknisi terbaikâsemuanya membantu perusahaan mencapai tujuannya yang paling penting: membuat pengalaman yang luar biasa bagi pelanggan.
Analisis Prediktif
Grup Formula One Menggunakan Amazon SageMaker untuk Mengoptimalkan Pertandingan

Pelajari bagaimana Formula 1 menggunakan Amazon SageMaker dan layanan AWS lainnya untuk mengoptimalkan keputusan pertandingan dan meningkatkan pengalaman penggemar.

Pelajari Selengkapnya

Memulai Transformasi

Grup Formula One memindahkan sebagian besar infrastrukturnya dari pusat data di lokasi ke AWS dan menstandardisasi di layanan machine-learning AWSâtermasuk Amazon SageMaker.

Mengoptimalkan Pertandingan dengan Machine Learning

Menggunakan riwayat data pertandingan yang dikumpulkan dari mobil selama 65 tahun terakhir, ilmuwan data Formula 1 melatih model deep-learning yang membuat prediksi pertandingan dan membantu tim mengoptimalkan keputusan di tengah pertandingan. Model tersebut dapat memprediksi kapan tim harus memasukkan mobil mereka ke pit stop, menentukan waktu terbaik untuk mengganti ban, dan mengevaluasi bagaimana kinerja pengemudi.

Membawa Penggemar ke Jalur Balap

Formula 1 kemudian menggunakan layanan streaming data, analisis, dan media AWS untuk mengirimkan wawasan tentang keputusan pengemudi dan kinerja mobil kepada lebih dari 500 juta penggemarnya.

Membangun untuk Masa Depan

Karena Formula 1 menjalankan beban kerja komputasi berkinerja tinggi di lingkungan yang dapat diskalakan di AWS, organisasi dapat berinovasi pada pengalaman pertandingan, desain mobil Formula 1 dan lainnya tanpa mengkhawatirkan kapasitas.
Machine Learning
MLB Memilih AWS sebagai Penyedia Machine Learning Resmi

Pelajari Bagaimana Liga Bisbol Profesional Amerika Menghasilkan Statistik Menggunakan AWS Machine Learning
Pelajari Selengkapnya

Dasar untuk Deep Learning

MLB telah mengumpulkan data statistik tentang pemain dan klubnya selama beberapa dekade, dan pada tahun 2015 MLB mulai menggunakan AWS untuk mengumpulkan dan mendistribusikan statistik hari pertandingan untuk meningkatkan pengalaman penggemar.

Memberdayakan Pengembang

Dengan menggunakan Amazon SageMaker, MLB memberdayakan pengembang dan ilmuwan data untuk membangun, melatih, dan menerapkan model pembelajaran mesin pada skala apa pun.

Meringankan Beban

Model-model ini membantu MLB menghilangkan proses manual, waktu-intensif yang terkait dengan pencatatan dan statistik, seperti pencatatan skor, menangkap catatan permainan, dan mengelompokkan pitch.

Mempersonalisasi Pertandingan

MLB berencana untuk bekerja dengan Amazon ML Solutions Lab untuk terus meningkatkan Statcastâteknologi pelacak yang menganalisis performa pemainâtermasuk menguji ketepatan prediksi pitch dan membuat pengalaman pemirsa yang dipersonalisasi.

Home Run denfan Kecerdasan Buatan

MLB akan terus berinovasi menggunakan kecerdasan buatan. Rencana organisasi untuk menggunakan Amazon Comprehend untuk membangun model bahasa yang dapat membuat naskah untuk pertandingan langsung yang mensimulasi penyiar ikonik.
TANPA SERVER
Matson Mengoperasikan Pengiriman Global dan Bisnis Logistik di AWS

Pelajari cara Matson menggunakan AWS untuk menggerakkan inovasi dan layanan pelanggan kelas-dunia, sekaligus mencapai keandalan, keamanan operasional dan penghematan biaya infrastruktur.
Pelajari Selengkapnya

Pelacakan Kontainer Real-Time

Matson membangun aplikasi seluler flagship untuk pelacakan kontainer global yang memungkinkan pelanggan melakukan pelacakan real-time pengiriman barang. Fitur berharga lain dalam aplikasi tersebut mencakup pencarian jadwal kapal yang interaktif, pencarian peta pangkalan berbasis lokasi, dan umpan kamera-gerbang langsung.

Akses Perangkat Mobile

Semua perangkat seluler mengakses AWS melalui Amazon API Gateway. Cara ini memberikan titik akhir lokasi edge yang mudah ditemukan untuk akses ke dalam sumber daya pada virtual private cloud Matson yang sudah tersedia.

Komputasi Tanpa Server

Fungsi AWS Lambda dirancang menggunakan pola layanan-mikro dan dimodelkan di sekitar konteks bisnis berbasis-lautan khusus, seperti pelacakan kapal dan jadwal kapal.

Konfigurasi dan Penyimpanan Database

Amazon DynamoDB mengelola konfigurasi juga konfigurasi umpan balik pengguna dan pemberitahuan umpan balik pengguna yang dikirimkan dari perangkat seluler. DynamoDB Streams memberikan notifikasi real-time ke tim layanan pelanggan Matson.

Pemantauan dan Peringatan Data

Pelanggan Matson mengandalkan pelacakan kontainer dan informasi status kapal akurat dan terbaru. Pemantauan dan peringatan kejadian sistem diarsipkan dengan menggunakan Amazon CloudWatch, Amazon SNS, Amazon SES, AWS Lambda, dan CloudWatch Logs.

Aplikasi Tanpa Server Ujung-ke-Ujung

Matson sekarang dapat menawarkan aplikasi tanpa server ujung-ke-ujung kepada pelanggan untuk membantu melacak pengiriman, tanpa infrastruktur yang perlu dipelihara.
Gaming
Epic Games menggunakan AWS untuk Mendukung Game Kelas Dunia Fortnite

Pelajari cara Epic Games menggunakan AWS untuk mengirim Fortnite ke lebih dari 200 juta pemain di seluruh dunia.

Pelajari Selengkapnya

Membangun Fondasi di Cloud

Epic Games telah menggunakan AWS sejak 2012 dan kini sepenuhnya menggunakan AWS Cloud, menjalankan armada server game di seluruh dunia, sistem platform backend, database, situs web, jalur analitik, dan sistem pemrosesan di AWS.

Sensasi dalam Satu Malam

Pada 2017, Epic Games meluncurkan Fortnite, game antarplatform dan multipemain yang menjadi sensasi dalam semalam. Di tahun pertamanya, basis pengguna Fortnite tumbuh lebih dari 100 kali menjadi 200 juta pemain di seluruh dunia.

Mendorong Batas Skala

AWS merupakan bagian penting dari kesuksesan Fortnite. Dengan menggunakan AWS, Epic Games menyelenggarakan acara dalam game dengan ratusan juta pengguna yang diundang tanpa khawatir tentang kapasitas, memasukkan 125 juta acara per menit ke dalam saluran analitiknya, dan menangani pertumbuhan gudang data lebih dari 5 PB per bulan.

Memberikan Pengalaman Gaming Terbaik

Dengan AWS, Epic Games selalu meningkatkan pengalaman pemainnya serta menawarkan game dan elemen game yang baru dan menarik. Perusahaan berencana memperluas penggunaan layanan AWS di masa mendatang, termasuk machine learning dan layanan terkontainer.
APLIKASI PERUSAHAAN
BP Meningkatkan Keefektifan dan Mendapatkan Kelincahan Biaya dan Kecepatan untuk Aplikasi Bisnis yang Sangat Penting

Lihat cara BP menyederhanakan dan memodernisasi suit aplikasi SAP, meningkatkan pengalaman pengguna sekaligus mendapatkan kelincahan biaya dan peningkatan kinerja.
Pelajari Selengkapnya

Mengelola Aplikasi Bisnis yang Sangat Penting

Organisasi TI BP mengelola aplikasi SAP yang digunakan ribuan karyawan di seluruh dunia untuk rantai suplai, pengadaan, keuangan, dan masih banyak lagi.

Meningkatkan Kecepatan & Kelincahan Biaya

Untuk meningkatkan kecepatan dan mendapatkan kelincahan biaya, BP menggunakan Amazon EC2 untuk memindahkan aplikasi bisnis inti ini ke cloud. Sebagai tambahan, tim tersebut membangun instans EC2 X1 untuk meningkatkan skala dan untuk memberdayakan analitik real-time mereka.

Peningkatan Kinerja

Tim tersebut sekarang dapat mendirikan sistem sesuai permintaan dalam hitungan jam alih-alih dalam minggu atau bulan. BP melihat peningkatan kinerja di seluruh papan, mencakup 40 persen peningkatan kecepatan untuk sistem ERP Pelumas.

Pengamanan Data

Sebagai bagian dari migrasi cloud, BP mengatur ulang standar keamanan menggunakan AWS Config, AWS Identity and Access Management (IAM), Amazon CloudWatch, dan AWS Trusted Advisor. Standar baru ini membantu BP mengembangkan kerangka kerja yang aman untuk pengoperasian organisasi TI.

Temukan. Beli. Terapkan.

AWS Marketplace merupakan katalog digital dengan ribuan daftar perangkat lunak dari vendor perangkat lunak independen yang memudahkan pencarian, pengujian, dan penerapan perangkat lunak yang beroperasi di AWS.

Pelajari Selengkapnya

Jelajahi Solusi Kami

Machine Learning

Bangun dengan layanan dan platform yang kuat, dan dukungan kerangka kerja machine learning terluas di segala tempat.

Pelajari Selengkapnya

Analitik dan Data Lake

Simpan, kategorikan, dan analisis secara aman semua data Anda dalam satu repositori terpusat.

Pelajari Selengkapnya

Internet of Things

Sebuah sistem perangkat yang ada di mana-mana dan menghubungkan dunia fisik dengan cloud.

Pelajari Selengkapnya

Komputasi Tanpa Server

Bangun dan jalankan aplikasi dan layanan tanpa memikirkan tentang server.

Pelajari Selengkapnya

Kontainer

Paketkan dan terapkan aplikasi yang ringan dan memberikan lingkungan perangkat lunak portabel yang konsisten supaya aplikasi dapat secara mudah dijalankan dan diskalakan di mana pun.

Pelajari Selengkapnya

Aplikasi Perusahaan

Bangun dengan seperangkat layanan siap pakai yang secara khusus dirancang untuk persyaratan keamanan yang unik, kepatuhan, privasi, dan tata kelola organisasi yang besar.

Pelajari Selengkapnya

Penyimpanan

Pilihan pencadangan, pemulihan bencana, dan pengarsipan data pada skala petabyte yang tahan lama dan hemat biaya.

Pelajari Selengkapnya

Beban Kerja Windows

Kapasitas komputasi yang fleksibel, dapat diskalakan untuk aplikasi Microsoft. Beban kerja Windows yang mudah dikelola dan aman.

Pelajari Selengkapnya

Lihat Semua Solusi

Diciptakan untuk Memenuhi Persyaratan yang Sangat Menuntut

Aman

Kemampuan keamanan komprehensif untuk memenuhi persyaratan yang sangat ketat.

Kepatuhan

Kendali yang kaya, pengauditan, dan akreditasi keamanan yang luas.

Hybrid

Membangun arsitektur hybrid yang memperluas infrastruktur di lokasi Anda ke Cloud.

Dapat Diskalakan

Mengakses sebanyak atau sesedikit yang dibutuhkan, dan menaikkan atau menurunkan skala seperlunya hanya dengan pemberitahuan beberapa menit sebelumnya.

Pelajari Bagaimana Pelanggan Kami Membangun di AWS

Lihat Semua Kisah Pelanggan

Jaringan Global Wilayah AWS

AWS Cloud tersebar di 61 Availability Zone dalam 20 Wilayah geografis di seluruh dunia, dengan rencana yang diumumkan untuk 12 Availability Zone lainnya dan empat wilayah tambahan di Bahrain, Cape Town, Hong Kong SAR, dan Milan.

Wilayah & Jumlah Availability Zone

AS Timur
Virginia U. (6), Ohio (3)

AS Barat
California U. (3), Oregon (4)

Asia Pasifik
Mumbai (2), Seoul (2), Singapura (3), Sydney (3), Tokyo (4), Osaka-Lokal (1)

Kanada
Pusat (2)

Tiongkok
Beijing (3), Ningxia (2)

Eropa
Frankfurt (3), Irlandia (3), London (3), Paris (3), Stockholm (3)

Amerika Selatan
São Paulo (3)

GovCloud (AS)
AS Timur (3), AS Barat (3)

Wilayah Baru (Segera Hadir)

Bahrain

Cape Town

Daerah Administratif Khusus Hong Kong

Milan

Pelajari Selengkapnya

Laporan Analis

Baca apa pendapat analis terbaik seperti Gartner dan IDC mengenai AWS

Pelatihan AWS

Sumber daya sesuai permintaan untuk membantu Anda mengembangkan keterampilan

AWS Partner Network

Bergabung dengan AWS Partner Network untuk membangun dan mengembangkan bisnis cloud Anda

AWS Marketplace

Meluncurkan berbagai perangkat lunak populer di AWS dengan cepat

#####EOF##### AWS | Government Cloud Computing - Federal & Local Government Cloud Services

AWS in the Public Sector

Paving the way for innovation and supporting world-changing projects

in government, education and nonprofit organizations

Contact Public Sector Sales

Find a Partner

Government

Education

Nonprofits

Partners

Case Studies

Events

Resources

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Government, education and nonprofit organizations face unique challenges to accomplish complex missions with limited resources. Public sector leaders engaged in true cloud computing projects overwhelmingly turn to the power and speed of Amazon Web Services when they want to serve citizens more effectively, achieve scientific breakthroughs, reach broader constituents and put more of their time and resources into their core missions.

Get started on your path to a cloud career. Join AWS Educate today!

Government

National, regional and local governments around the world

Learn more »

Education

Educational institutions, ed tech companies, and students

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Nonprofits

Nonprofit organizations, NGOs and tech companies serving nonprofits

Learn more »

Engineered for the Most Demanding Requirements

Secure

Comprehensive security capabilities to satisfy the most demanding information security requirements.

Learn more

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Private, Isolated Resources

Choose the right level of isolation for your apps, and integrate with existing resources.

Learn more

Compliant

Rich controls, auditing and broad security accreditations to enable compliance with FedRAMP, CJIS, HIPAA, FERPA and more.

Learn more

Hybrid

Build hybrid IT architectures that extend your on-premises infrastructure to the Cloud.

Learn more

Scalable Computing for Government Agencies

Agencies at all levels of government rely on Amazon Web Services to accomplish their missions

Learn More

NASA/JPL case study: complex scientific missions in government call for flexible, low cost computing

When NASA/JPL faced the challenge of delivering images from Mars to every browser on Earth, they knew they would need an unconventional solution. From that moment through their current scientific missions, NASA/JPL has used Amazon Web Services (AWS) to capture, store and process images and data collected from the Mars Exploration Rover and the Mars Science Laboratory missions.

Read the story

Case Study: The Financial Industry Regulatory Authority (FINRA) Turned to AWS for Flexibility and Advanced Analytics

By migrating to AWS, FINRAâthe Financial Industry Regulatory Authorityâhas created a flexible platform that can adapt to changing market dynamics while providing its analysts with the tools to interactively query multi-petabyte data sets. FINRA, one of the largest independent securities regulators in the United States, was established to monitor and regulate financial trading practices.

Watch the video

A Comprehensive Platform for Efficient Educational Enterprises

AWS offers the flexible, low cost infrastructure for educational institutions
Learn More

Case Study: Notre Dame Adopts "Cloud First" Approach

The University of Notre Dame is on the fast track to move at least 80% of its enterprise systems to the cloud. Learn how it all began when the university migrated its website and global student/faculty authentication stores to AWS. The university reports saving 40% on its annual IT operations by moving to AWS thus far.

Watch the video now

Case Study: University of Maryland University College Turns to AWS for Analytics and Administrative Workloads

By using AWS, UMUC improved the performance of its analytics platform by twentyfold and enabled its engineers to focus on building new applications instead of managing IT infrastructure.

Watch the video

Cost Savings Allow Nonprofits to Focus on Their Missions

Nonprofit and non-governmental organizations across domains use AWS to reduce costs, increase reach and accelerate advanced analytics capabilities.
Learn More

Case Study: Learn how the National Democratic Institute Puts Its Focus on Its Mission by Migrating to the Cloud

By moving to AWS and scaling infrastructure appropriately, the National Democratic Institute reduced costs by 90% and improved security by using AWS security groups and features.

Watch the video now

Case Study: How PBS Coped with The Unexpected and Met the Needs of Its Viewers

Today, PBS Interactive is delivering nearly all of its streaming video through Amazon CloudFront. This equates to more than one petabyte of video content delivered every month. In addition, PBS Interactive uses multiple third-party providers to transcode and segment mobile video assets, which are then delivered through Amazon CloudFront to PBSâ mobile apps for the Apple iPhone and iPad.

Read the story

Unique Technology Programs for Public Sector Needs

Public sector clients have unique computing needs. Amazon Web Services offers special programs to address these needs, including:

Scientific Computing resources help researchers in government, education or nonprofit institutions spin up the computing resources they need instantly. And qualified researchers can receive data egress waivers to make costs more predictable.

Learn more

Open Data: Public sector organizations often hold data sets that could be useful to the public and private sectors alike. AWS helps make this data open and available for the public to discover, access, and use.

Learn more

AWS Educate provides students and educators with receive free access to AWS technology, cloud courses, training and collaboration tools to build the next generation of cloud technology professionals.

Learn more

AWS and IOT

Within the public sector, IoT is being used for areas important to us allâwater, transportation, public safety, city services, smart infrastructure, and health services, for instance. Sometimes IoT can seem so large that itâs hard to get a handle on it, but letâs consider IoT devices in terms of something we can relate to: the duties of being a citizen.

Public Sector News and Resources

Public Sector News

AWS Offers Data Egress Discount to Researchers

Cities Will Soon Be Able to Deploy Chicago's Geographic Information System With a Single Click

VA to Reimburse Veterans for AWS Certification Exams

Congratulations to the 2016 Fed 100

Brookhaven Lab Finds AWS Spot Instances Hit Sweet Spot

Selected Case Studies

Agency Behind Healthcare.gov Uses AWS to Deliver Streamlined Customer Experience

University of California Berkeley AMP Lab's Genomics Research Project

Singapore Post

The Financial Industry Regulatory Authority (FINRA)

The Global Crop Diversity Trust

City of McKinney, Texas

View More Public Sector Case Studies

Learn More

White Paper: How Cities Can Stop Wasting Money, Move Faster and Innovate

White Paper: A Practical Guide to Cloud Migration

White Paper: 10 Considerations for a Cloud Procurement

White Paper: An Introduction to High Performance Computing on AWS

White Paper: FERPA Compliance on AWS

White Paper: Introduction to AWS Security

Visit the Public Sector Blog

Contact Public Sector Sales

#####EOF##### Amazon.com : Lamy Accent 4pen Al KK Multi-System Pen 496 : Office Products

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Ball Pen Refill Lamy M 21 - black, blue and red
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Lamy Accent Multifunction Pen This Pen has Red Black and Blue Ballpoints and 0.7MM Pencil.

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		Lamy 2000 4 Color Ballpoint with Brushed Ss Clip (L401)	Uni "Jet Stream Prime" High Grade multi ballpoint pen 0.7mm 3 colors & Mechanical pencil　0.5mm (Black Red Blue) MSXE4-5000-07 (Black)	Sailor Pen multi-function pen professional gear Imperial Black 4 16-0539-220	Uni Jet Stream Prime High Grade multi ballpoint pen 3 colors (Black Red Blue) SXE3-3000-07 (Black)	Lamy 2000 Ball Point Pen Stainless Steel Clip - Black/Brushed
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John

el sistema no funciona adecuadamente

April 1, 2019

al usar algunos de los lapÃces del lapicero, en especial el ojo y el azul, la mina no se retrae sola, es necesario ayudarla con la mano para que se guarde. lo que no ocurre con el portaminas ni el color negro.
un producto tan costoso y que aun falta por terminar de inventarse, una lÃ¡stima

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#####EOF##### Data Lakes and Analytics | AWS

Data Lakes and Analytics on AWS

The most comprehensive, secure, scalable, and cost-effective portfolio of services to build your data lake and analytics solutions

Get started with data lakes on AWS

AWS delivers an integrated suite of services that provide everything needed to quickly and easily build and manage a data lake for analytics. AWS-powered data lakes can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot. AWS gives customers the widest array of analytics and machine learning services, for easy access to all relevant data, without compromising on security or governance.

There are more organizations with data lakes and analytics on AWS than anywhere else. Customers like NASDAQ, Zillow, Yelp, iRobot, and FINRA trust AWS to run their business critical analytics workloads.

Data Lakes and Analytics on AWS

To build your data lakes and analytics solution, AWS provides the most comprehensive set of services to move, store, and analyze your data.

Data Movement

Import your data from on premises, and in real-time.

Data Lake

Store any type of data securely, from gigabytes to exabytes.

Analytics

Analyze your data with the broadest selection of analytics services.

Machine Learning

Predict future outcomes, and prescribe actions for rapid response.

Data Movement

The first step to building data lakes on AWS is to move data to the cloud. The physical limitations of bandwidth and transfer speeds restrict the ability to move data without major disruption, high costs, and time. To make data transfer easy and flexible, AWS provides the widest range of options to transfer data to the cloud.

To build ETL jobs and ML Transforms for your data lake, learn about AWS Lake Formation.

On-premises data movement

AWS provides multiple ways to move data from your datacenter to AWS. To establish a dedicated network connection between your network and AWS, you can use AWS Direct Connect. To move petabytes to exabytes of data to AWS using physical appliances, you can use AWS Snowball and AWS Snowmobile. To have your on-premises applications store data directly into AWS, you can use AWS Storage Gateway.

Real-time data movement

AWS provides multiple ways to ingest real-time data generated from new sources such as websites, mobile apps, and internet-connected devices. To make it simple to capture and load streaming data or IoT device data, you can use Amazon Kinesis Data Firehose, Amazon Kinesis Video Streams, and AWS IoT Core.

Data Lake

Once data is ready for the cloud, AWS makes it easy to store data in any format, securely, and at massive scale with Amazon S3 and Amazon Glacier. To make it easy for end users to discover the relevant data to use in their analysis, AWS Glue automatically creates a single catalog that is searchable, and queryable by users.

To build a secure data lake faster, learn more about AWS Lake Formation.

Object Storage

Amazon S3

Amazon S3 is secure, highly scalable, durable object storage with millisecond latency for data access. S3 is built to store any type of data from anywhere â web sites and mobile apps, corporate applications, and data from IoT sensors or devices. It is built to store and retrieve any amount of data, with unmatched availability, and built from the ground up to deliver 99.999999999% (11 nines) of durability. S3 Select focuses data read and retrieval, reducing response times up to 400%. S3 provides comprehensive security and compliance capabilities that meet even the most stringent regulatory requirements.

Backup and Archive

Amazon Glacier

Amazon Glacier is secure, durable, and extremely low cost storage for long-term backup and archive that can access data in minutes, and similarly Glacier Select reads and retrieves only the data needed. It is designed to deliver 99.999999999% durability (11 nines), and provides comprehensive security and compliance capabilities that can help meet even the most stringent regulatory requirements. Customers can store data for as little as $0.004 per gigabyte per month, a significant savings compared to on-premises solutions.

Data Catalog

AWS Glue

AWS Glue is a fully managed service that provides a data catalog to make data in the data lake discoverable, and has the ability to do extract, transform, and load (ETL) to prepare data for analysis. The data catalog is automatically created as a persistent metadata store for all data assets, making all of the data searchable, and queryable in a single view.

Analytics

AWS provides the broadest, and most cost-effective set of analytic services that run on the data lake. Each analytic service is purpose-built for a wide range of analytics use cases such as interactive analysis, big data processing using Apache Spark and Hadoop, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations.

To manage secure, self-service access to data in a data lake for analytics services, learn more about AWS Lake Formation.

Interactive Analytics

Amazon Athena

For interactive analysis, Amazon Athena makes it easy to analyze data directly in S3 and Glacier using standard SQL queries. Athena is serverless, so there is no infrastructure to setup or manage. You can start querying data instantly, get results in seconds and pay only for the queries you run. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds.

Big Data Processing

Amazon EMR

For big data processing using the Spark and Hadoop frameworks, Amazon EMR provides a managed service that makes it easy, fast, and cost-effective to process vast amounts data. Amazon EMR supports 19 different open-source projects including Hadoop, Spark, HBase, and Presto, with managed EMR Notebooks for data engineering, data science development, and collaboration. Each project is updated in EMR within 30 days of a version release, ensuring you have the latest and greatest from the community, effortlessly.

Data Warehousing

Amazon Redshift

For data warehousing, Amazon Redshift provides the ability to run complex, analytic queries against petabytes of structured data, and includes Redshift Spectrum that runs SQL queries directly against Exabytes of structured or unstructured data in S3 without the need for unnecessary data movement. Amazon Redshift is less than a tenth of the cost of traditional solutions. Start small for just $0.25 per hour, and scale out to petabytes of data for $1,000 per terabyte per year.

Real-Time Analytics

Amazon Kinesis

For real-time analytics, Amazon Kinesis makes it easy to collect, process and analyze streaming data such as IoT telemetry data, application logs, and website clickstreams. This enable you to process, and analyze data as it arrives in your data lake, and respond in real-time instead of having to wait until all your data is collected before the processing can begin.

Operational Analytics

Amazon Elasticsearch Service

For operational analytics such as application monitoring, log analytics and clickstream analytics, Amazon Elasticsearch Service allows you to search, explore, filter, aggregate, and visualize your data in near real-time. Amazon Elasticsearch Service delivers Elasticsearchâs easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.

Dashboards and Visualizations

Amazon QuickSight

For dashboards and visualizations, Amazon QuickSight provides you a fast, cloud-powered business analytics service, that that makes it easy to build stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.

Machine Learning

For predictive analytics use cases, AWS provides a broad set of machine learning services, and tools that run on your data lake on AWS. Our services come from the knowledge and capability weâve built up at Amazon, where ML has powered Amazon.comâs recommendation engines, supply chain, forecasting, fulfillment centers, and capacity planning.

Frameworks and Interfaces

For expert machine learning practitioners and data scientists, AWS provides AWS Deep Learning AMIs that make it easy to build deep learning models, and build clusters with ML and DL optimized GPU instances. AWS supports all the major machine learning frameworks, including Apache MXNet, TensorFlow, and Caffe2 so that you can bring or develop any model you choose. These capabilities provide unmatched power, speed, and efficiency that deep learning and machine learning workloads require.

Platform Services

For developers who want to get deep with ML, Amazon SageMaker is a platform service that makes the entire process of building, training, and deploying ML models easy by providing everything you need to connect to your training data, select, and optimize the best algorithm and framework, and deploy your model on auto-scaling clusters of Amazon EC2. SageMaker also includes hosted Jupyter notebooks that make it is easy to explore, and visualize your training data stored in Amazon S3.

Application Services

For developers who want to plug-in pre-built AI functionality into their apps, AWS provides solution-oriented APIs for computer vision, and natural language processing. These application services lets developers add intelligence to their applications without developing and training their own models.

More data lakes & analytics built on AWS than anywhere else

Why data lakes and analytics on AWS?

Flexibility and choice

AWS offers the broadest set of analytic tools and engines that analyzes data using open formats and open standards. You get to store your data in the standards-based data format of your choice such as CSV, ORC, Grok, Avro, and Parquet, and the flexibility to analyze the day in a variety of ways such as data warehousing, interactive SQL queries, real-time analytics, and big data processing. The breadth of analytics services that you can use with your data in AWS, ensures that your needs will be met for your existing and future analytics use cases.

Unmatched scalability and availability

Amazon S3 is built to store and retrieve any amount of data, with unmatched availability, and built from the ground up to deliver 99.999999999% (11 nines) of durability. It is the only storage offering that can store your data in multiple data centers across three availability zones within a single AWS Region for unmatched resilience to single data center issues, and the only storage offering that seamlessly replicates data between any regions.

Highly secure

S3 is the only cloud storage platform that allows you to apply access, log, and audit policies at the account and object level. S3 provides automatic server-side encryption, encryption with keys managed by the AWS Key Management Service (KMS), and encryption with keys that you manage. S3 encrypts data in transit when replicating across regions, and lets you use separate accounts for source and destination regions to protect against malicious insider deletions. To proactively detect early stages of an attack, Amazon Macie, an ML powered security service monitors data access activity for anomalies, and generates detailed alerts when it detects risk of unauthorized access or inadvertent data leaks.

Cost-effective

Data lakes built on AWS are the most cost-effective. Data that is infrequently used can be moved to Amazon Glacier which provides long-term backup and archive at very low costs. Amazon S3 management capabilities can analyze object access patterns to move infrequently used data to Glacier on-demand or automatically with lifecycle policies. You can begin querying the data with Amazon Athena for as little as $0.005/GB queried. Other analytics and machine learning services are priced with a pay-as-you-go approach for the resources you consume.

Fast performance

AWS analytic services like Amazon Redshift and Amazon Athena were built for fast interactive query performance to support large numbers of concurrent interactive queries. When running AWS' broad portfolio of analytics and machine learning services using Amazon S3 Select, only the subsets of data that are needed within objects are returned, leading to much faster queries up to 400% faster, and at a dramatically lower cost. Glacier Select provides a similar capability allowing you to retrieve archived data faster, and allowing you to extend your analytical capability over your data lake to include archival storage.

The largest partner network

The AWS Partner Network (APN) has twice as many partner integrations than anyone else, with tens of thousands of partners, including consulting and independent software vendors, from all across the globe. This makes it easy to work and integrate with many of the same tools you use and love today. Data Lake Quick Starts, developed by AWS solution architects and partners, help you build, test, and deploy data lake solutions based on AWS best practices for security and high availability, in a few simple steps.

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Instantly get access to the AWS Free Tier

Build a secure data lake in days

Read about AWS Lake Formation

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Read about deploying data lakes on AWS

Get started with data lakes on AWS

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Have more questions?

#####EOF##### High Performance Computing (HPC) in the Cloud | Accelerated Computing

High Performance Computing (HPC)

Imagine the problems you can solve with virtually unlimited infrastructure

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Overview

Getting Started

Resources

From weather modeling to genome mapping to the search for extraterrestrial intelligence, HPC has always been about solving the worldâs most complex problems. HPC has primarily been an on-premises business, and engineers and researchers working on these HPC applications have always been constrained by infrastructure capacity available on-premises - often limiting their exploration of potential solutions to the constraints of available infrastructure capacity.

High Performance Computing on AWS enables engineers, analysts, and researchers to think beyond the limitations of on-premises HPC infrastructure. AWS HPC solutions address the infrastructure capacity, secure global collaboration, technology obsolescence, and capital expenditure constraints associated with on-premises HPC clusters to give you the freedom to tackle the most challenging HPC workloads and get to your results faster.

hpcthumb — High Performance Computing on AWS

Benefits of Running HPC on AWS

Enable quick discoveries

Instantly launch or scale up High Performance Computing clusters on AWS. By eliminating job queue times and scaling your cluster as large as needed, when needed, you can reduce the time to market or publication.

Increase productivity

Focus on applications and research output over infrastructure maintenance and upgrades. When AWS upgrades hardware, you can gain access instantaneously â simply rewrite your cluster configuration file and reboot to move to the latest hardware.

Leverage flexible architectures

Let your research dictate infrastructure, not the other way around. With the flexible configuration options AWS provides, you can start with your hypothesis and create HPC clusters that are optimized for your unique application requirements â GPU today, CPU tomorrow.

Enter a rich solutions ecosystem

In addition to core service options for compute, storage, and databases, take advantage of the breadth of services and partners in the AWS ecosystem to enhance your workload. Options range from familiar solutions like NICE and Thinkbox to experimental builds with AWS Lambda.

Facilitate secure collaboration

Collaborate without compromising on security. Every AWS service provides encryption and options to grant granular permissions for each user while maintaining the ability to share data across approved users. Build solutions compliant with HIPAA, FISMA, FedRAMP, PCI, and more.

Pay only for what you use

Let every dollar contribute meaningfully to your mission. Choose from a range of AWS services and only pay for what you use. No more paying for idle compute capacity, no long-term contracts, and no complex licensing involved. Optimize costs further with Amazon EC2 Spot Instances.

Use Cases by Industry

Life Sciences

Genomics

The Algorithms, Machine, and People (AMP) Lab at UC Berkeley leveraged AWS to quickly scale the compute resources needed to analyze the algorithms that are used in genomics work. Learn more >>

Computational Chemistry

Novartis built a platform leveraging AWS to run approximately 87,000 compute cores to conduct 39 years of computational chemistry in 9 hours for a cost of $4,232. Learn more >>

Biological Systems Simulation

Penn State moved its research portal to AWS and made it easy for 6,000 researchers worldwide to design more than 50,000 synthetic DNA sequences. Learn more >>

Protein Modeling

The Computer Science department at San Francisco State University used Amazon EC2 to reduce costs and turnaround time to run machine learning workloads. Learn more >>

Learn more about cloud computing for Biotech and Pharma >>
Financial Services

Capital Management and Reporting

MAPFRE saved 88% on infrastructure costs and gained the ability to spin up a supercomputer on demand and shut it down when finished. Learn more >>

Risk Management Portfolio Optimization

Yuanta Securities Korea benefits from increased speed and lower costs by running financial models on AWS to assess market risk. Learn more >>

Contract Pricing and Valuation

Aon Benfield moved its infrastructure to AWS and built a processing system that reduced policy recalculation time from hours or days to minutes. Learn more >>

Learn more about cloud solutions for Financial Services >>
Design and Engineering

Electronics Design Automation

Cadence Design Systems used AWS to isolate workloads from one another and ensure users and applications didnât compete for resources, which resulted in reduced regression times, quicker iterations, and shifted focus on optimization and agility. Learn more >>

Computational Fluid Dynamics (CFD)

TLG Aerospace used EC2 Spot Instances to access more memory and cores at a lower cost, allowing them to scale the number and size of increasingly demanding simulations. Learn more >>

Engineering Simulation

Ansys ran a simulation with Enhanced Networking-compatible EC2 instances and demonstrated near-ideal scalability well past 1000 cores and a reduced overall solution time even beyond 2000 cores. Learn more >>

3D Rendering

ZeroLight used AWS GPU instances to build an award-winning 3D car configuration tool to create a totally new, interactive user experience for customers on the showroom floor to select and configure their next automobile.

Learn More>>
Energy & Earth Sciences

Weather Simulation

The Weather Company redesigned its big data platform, forecasting systems, and applications to run natively in a cloud environment and reduced their on-premises environments from 13 to 6 data centers, freeing engineers to build network and application efficiency. Learn more >>

Reservoir Simulation

Rock Flow Dynamics used on-demand computing resources to run workloads to optimize the location of oil wells and water injection wells. What would have taken several years to complete was done over a 12-day period using AWS resources. Learn more >>

Geographic Information Systems (GIS)

Digital Globe used AWS to deliver petabytes of high-resolution Earth imagery, data, and analysis to its customers in weeks instead of months while saving on costs. Learn more >>

Operations, Management, and Analytics

Fugro Roames used AWS and Amazon EC2 Spot Instances to enable Ergon Energy to reduce the annual cost of vegetation management from AU$100 million to AU$60 million. Learn more >>

HPC Capabilities on AWS

Compute

High Performance Computing workloads on AWS are run on virtual servers, known as instances, enabled by Amazon Elastic Compute Cloud (Amazon EC2). Amazon EC2 provides secure, resizable compute capacity in the cloud and is offered in a wide range of instance types so you can choose one optimized for your workload.

Learn more about EC2 instance types (click to expand)

Instance Type	Recommended HPC Use	Technical Highlights
C5n Compute Optimized	Compute-intensive workloads, such as engineering and financial simulations, materials science and genomics processing, seismic processing, digital and analog simulations, fluid dynamics, computational lithography and metrology, weather simulations, and many more	Based on Intel Xeon Platinum processors, (Skylake) Provides up to 36 cores (72 vCPUs) and up to 192 GiB of memory Supports Intel Advanced Vector Extension 512 (AVX-512) vector processing instruction set C5n instances provide up to 100 Gbps of network bandwidth and up to 14 Gbps of dedicated bandwidth to Amazon EBS. C5n instances also feature an over 30% larger memory footprint compared to C5 instances.
M5 General Purpose	Applications and workloads requiring a balance of memory-to-cores, and for general purpose computing such as HPC management nodes, license servers, remote login nodes, and others	Based on Intel Haswell and Broadwell processors Provides up to 48 cores (96 vCPUs) and up to 384 GiB of memory
R5 Memory Optimized	Applications that require a higher ratio of memory-to-cores than C5 or M4 instances, including memory-intensive engineering and scientific simulations, semiconductor mask verification, and many others	Based on Intel Broadwell processors Provides up to 48 cores (96 vCPUs) and up to 768 GiB of memory
P3 Accelerated Computing	Engineering simulations, computational finance, seismic analysis, molecular modeling, genomics, rendering, and other GPU compute workloads	Provides up to 8 NVIDIA Tesla V100 Accelerators, powered by NVDIA Volta GV100 GPUs Up 1 PFLOPS of mixed-precision, 125 TFLOPS of single-precision and 62 TFLOPS of double-precision floating point performance Up to 300 GB/s throughput with NVIDIA NVLink GPU-to-GPU interconnect Up to 64 vCPUs, 488 gigabytes of DRAM, and 25 gigabytes per second of dedicated aggregate network bandwidth
F1 Accelerated Computing	Parallel, hardware accelerated applications including video analytics, image processing, financial computing, genomics, and accelerated data analytics and search	Provides up to 8 Xilinx Virtex UltraScale+ VU9P FPGA devices in a single EC2 instance
G3 Accelerated Computing	High performance graphical applications, including graphical remote desktops, 3D modeling and simulation, medical and geospatial imaging, and video content delivery	Provides up to 4 NVIDIA Tesla M60 Accelerators, powered by NVDIA GM204 GPUs (Maxwell) Optimized for graphics processing and remote visualization Available with Amazon AppStream 2.0, a fully managed application streaming service allowing pre and post-processing of HPC workloads. Deliver HPC visualization applications to large groups of users on any desktop with an HTML5 browser. Utilized by Amazon WorkSpaces Graphics bundles which enables GPU-accelerated virtual Windows desktops in the cloud. WorkSpaces Graphics bundles are designed for engineers and 3D application developers to use as an alternative to expensive graphics-capable workstations.
X1 Memory Optimized	Applications that require large amounts of memory per core, including in-memory analytics graph and sparse matrix processing, semiconductor timing analysis, and others	Based on Intel Haswell processors Provides up to 64 cores (128 vCPUs) and up to 1,952 GiB of memory
X1e Memory Optimized	Applications that require the highest amounts of memory per core, including high-performance databases, in-memory databases and other memory intensive enterprise applications	Based on Intel Haswell processors Provides up to 64 cores (128 vCPUs) and up to 3,840 GiB of memory

See more details on Amazon EC2 instances types >>

EC2 Spot Instances: Optimize compute time and cost >>

Orchestration

High Performance Computing workload management gains new levels of flexibility in the cloud, making resource and job orchestration an important consideration for your workload. AWS provides a range of solutions for workload orchestration: fully-managed services enable you to focus more on job requests and output over provisioning, configuring and optimizing the cluster and job scheduler, while self-managed solutions enable you to configure and maintain cloud-native clusters yourself, leveraging traditional job schedulers to use on AWS or in hybrid scenarios.

View HPC orchestration options (click to expand)

AWS Offering	Description	Highlights
AWS Batch	AWS Batch is a fully-managed service that enables you to easily run large-scale compute workloads on the cloud without having to worry about resource provisioning or managing schedulers. Interact with AWS Batch via the web console, AWS CLI, or SDKs.	Fully-managed service Focus on your jobs and their resources instead of infrastructure Reduce costs by easily using EC2 Spot and Reserved Instances Easily prioritize work across tens of thousands of cores
AWS Lambda	Run code without provisioning or managing servers, paying only for the compute time you consume. Define short-duration functions written in a number of languages and allow Lambda to manage execution at scale.	Fully-managed service Optimized for short-duration operations Lambda is âServerlessâ â pay only for what you use while your functions are running
AWS Step Functions	A fully-managed service that makes it easy to coordinate the components of distributed applications and microservices using visual workflows.	Fully-managed service Easily integrated with AWS Batch, AWS Lambda, and other services
AWS ParallelCluster	AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage HPC clusters in the AWS cloud.	AWS supported and maintained open source cluster management tool Quickly deploy a cluster using AWS Batch or third-party schedulers Uses AWS CloudFormation for a base template
EnginFrame	HPC portal integrated with a wide range of open source and commercial batch scheduling systems. One-stop-shop for job submission, control and data management.	Runs on-premises, in the cloud or hybrid "Single pane of glassâ for multiple schedulers Application templates

Storage

AWS provides several options for storage, ranging from file systems attached to an EC2 instance to high performance object storage. Most HPC applications require shared access to data from multiple EC2 instances via a file system interface. AWS provides a native, scale-out shared file storage service (Amazon EFS) that provides a file system interface and file system semantics. HPC applications can also use AWSâ block storage offerings, either Amazon EBS or EC2 instance store, for general purpose working storage. Amazon S3 and Glacier provides low-cost storage options for long-term storage of large data sets.

View AWS storage offerings (click to expand)

AWS Product

Description and recommended HPC usage

Highlights

Amazon EFS

A highly available and durable, multi-AZ, fully-managed file system

Recommended HPC Usage: Use as a shared file system for working storage

Scales to tens of thousands of cores
NFS mountable

Amazon EBS

Persistent block storage volumes for use with Amazon EC2 instances

Recommended HPC Usage: Use for high-IOPS and general purpose working storage

Lustre compatible
NFS mountable
Supports high-speed parallel computing systems via tools like Lustre and GPFS
Offers a range of choices for speed and cost optimization

Amazon EC2 Instance Store

Block storage included at no additional charge with select Amazon EC2 instance types

Recommended HPC Usage: Use for read-often temporary working storage

Included with select EC2 instance types
Fast I/O
Ephemeral Storage

Amazon S3

Object storage built to store and retrieve any amount of data from anywhere

Recommended HPC Usage: Primary durable and scalable storage for HPC data

Highly available
Highly durable
API accessible with PUT and GET requests

Amazon Glacier

A secure, durable, and extremely low-cost cloud storage service for data archiving an dlong-term backup

Recommended HPC Usage: Use for long-term, lower-cost archival of HPC data

Life cycle tools archive data automatically
Extremely economical
Retrieval times on the order of hours

Networking

The AWS network is designed for scale. Whether your application requires thousands of cores for one tightly-coupled workload, hundreds-of-thousands of cores for embarrassingly-parallel, high-throughput computing (HTC) applications, or a mixture of both, the AWS network offers performance (high bandwidth, low latency) and scalability.

AWS optimizes and custom builds hardware specifically for AWS infrastructure. Cut-through routing combined with AWS large scale means even the biggest customers see consistent latency and high bandwidth when using the most challenging application communication patterns.

Learn more about AWS networking features (click to expand)

Networking Feature	Description and EC2 Instance Type Compatibility	Benefits
Cluster Placement Groups	Cluster Placement Groups are logical groupings or clusters of instances in the selected AWS region. EC2 Instance Type Compatibility: All instance types that support enhanced networking can be launched within a Cluster Placement Group. Learn more >>	Allow for reliably low latency with up to 25 Gbps bandwidth between instances Elastically scalable as desired
Elastic Network Adapter (ENA)	Elastic Network Adapter (ENA) is a custom network interface optimized to deliver high throughput and packet per second (PPS) performance. EC2 Instance Type Compatibility: ENA is currently supported on M5, C5, H1, I3 P3, P2, G3 R4, X1, and m4.16xlarge instance types. Learn more >>	All the advantages of generation one Future-proofed driver: designed to support up to 400 Gbps networking without requiring a driver change Utilize up to 25 Gbps of network bandwidth on certain EC2 instance types
Elastic Fabric Adapter (EFA)	Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run HPC applications requiring high levels of inter-instance communications, like computational fluid dynamics, weather modeling, and reservoir simulation, at scale on AWS. With EFA, HPC applications using popular HPC technologies like Message Passing Interface (MPI) can scale to thousands of CPU cores. EFA is available as an optional EC2 networking feature that you can enable on C5n.9xl, C5n.18xl, and P3dn.24xl instances. Additional instance types will be supported in the coming months. Sign up for a preview of EFA capabilities to enhance your HPC applications.	Supports industry-standard libfabric APIs, so applications that use a supported MPI library can be migrated to AWS with little or no modification Supported on EC2 instances that provide 100Gbps sustained network throughput EFA support can be enabled at instance startup or on a stopped instance

Visualization

From preparing simulation input data to interpreting computing job outputs, high performance graphics tasks are part of many HPC workloads. AWS offers several products to improve the performance, cost and flexibility of running OpenGL, Direct/X and other graphics applications. You can accelerate graphics performance by using the GPU-powered G2 and G3 instances or Elastic GPU, and stream Windows graphics with AppStream 2.0, WorkSpaces, or NICE DCV. If you prefer a Linux-based graphics platform, combining the streaming performance of NICE DCV and the EnginFrame HPC portal can deliver end-to-end workflows to end users across on-premises, hybrid cloud, or full-AWS configurations.

View options for data visualization (click to expand)

Offering	Description	Highlights
NICE DCV	A secure streaming protocol optimized for high end graphics, with dynamic bandwidth management	Move pixels and keep HPC data centralized Enable remote access to Linux and Windows 3D applications Fluid and responsive experience over a wide network area Consistent experience on premises and on AWS
NICE EnginFrame	An HPC Portal with built-in interactive session management and batch-interactive workflow support	One-stop-shop for all HPC user needs Simplify collaboration Consistent experience on premises and on AWS
Amazon EC2 Elastic GPU and G3 Instances	Allow you to easily attach low-cost graphics acceleration to current generation EC2 instances	Ideal If you need a small amount of GPU for graphics acceleration, or have applications that could benefit from some GPU, but also require high amounts of compute, memory, or storage Capable of running a variety of graphics workloads, such as 3D modeling and rendering, with similar workstation performance compared to direct-attached GPUs.
Amazon AppStream 2.0	A fully managed, secure application streaming service that allows you to stream desktop applications from AWS to any device running a web browser	Visualization applications run next to your HPC data ensuring a high quality, low latency visualization experience Users have secure, anywhere, anytime access to their applications so they can be productive wherever there is a web connection Application delivery using NICE DCV protocol which is optimized for graphics
Amazon Workspaces	A fully managed, secure Desktop-as-a-Service (DaaS) solution which runs on AWS. WorkSpaces includes GPU-accelerated bundles, which supports engineering, design, and architectural applications while providing the benefits of security, economics, flexibility, and agility in the cloud.	Faster visualization of simulation results because your apps can reside next to your data in the cloud Support for 3D application development, 3D modeling, CAD, CAM, and CAE tools Desktop streaming to a multitude of supported devices including Windows and Mac PCs, PCoIP zero clients, Chromebooks, iPads, Fire tablets, Android tablets, and even select smartphones

Pricing Considerations

The pay-as-you-go approach

AWS offers you a pay-as-you-go approach for pricing for over 70 cloud services. With AWS you pay only for the individual services you need, for as long as you use them, and without requiring long-term contracts or complex licensing. AWS pricing is similar to how you pay for utilities like water or electricity. You only pay for the services you consume, and once you stop using them, there are no additional costs or termination fees. Learn more about how pricing works on AWS >>

Compute pricing

There are three main ways to pay for your compute capacity on Amazon EC2: On-Demand, Reserved Instances, and Spot Instances.

Compute Pricing Model	Description	Recommended HPC Use:
On Demand Instances	With On-Demand instances, you pay for compute capacity by the hour with no long-term commitments or upfront payments. You can increase or decrease your compute capacity depending on the demands of your application and only pay the specified hourly rate for the instances you use.	Users that prefer the low cost and flexibility of Amazon EC2 without any up-front payment or long-term commitment Applications being developed or tested on Amazon EC2 for the first time (POCs) Applications with short-term, spiky, or unpredictable workloads that cannot be interrupted Urgent and high-priority workloads
Spot Instances	Spot Instances is a pricing model that enables you to bid on unused Amazon EC2 capacity at whatever price you choose. When your bid exceeds the Spot price, you gain access to the available Spot Instances and run as long as the bid exceeds the Spot Price. Historically, the Spot price has been 50% to 93% lower than the on-demand price. Learn more about optimizing scientific computing costs with Spot Instances >>	Workloads that can tolerate interruptions Applications that have flexible start and end times Applications that are only feasible at very low compute prices
Reserved Instances	Reserved Instances provide you with a significant discount (up to 75%) compared to On-Demand instance pricing. In addition, when Reserved Instances are assigned to a specific Availability Zone, they provide a capacity reservation, giving you additional confidence in your ability to launch instances when you need them.	Customers that can commit to using EC2 over a 1 or 3 year term to reduce their total computing costs Applications with steady state usage

AWS HPC Partners

AWS Partners provide professional services or software solutions to enable workloads on AWS. Browse our selection of featured partners and learn more.

Explore the AWS Partner Network >>

Ready to start experimenting?

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#####EOF##### After On: A Novel of Silicon Valley - Kindle edition by Rob Reid. Mystery, Thriller & Suspense Kindle eBooks @ Amazon.com.

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The definitive novel of today’s Silicon Valley, After On flash-captures our cultural and technological moment with up-to-the-instant savvy. Matters of privacy and government intrusion, post-Tinder romance, nihilistic terrorism, artificial consciousness, synthetic biology, and much more are tackled with authority and brash playfulness by New York Times bestselling author Rob Reid.

Meet Phluttr—a diabolically addictive new social network and a villainess, heroine, enemy, and/or bestie to millions. Phluttr has ingested every fact and message ever sent to, from, and about her innumerable users. Her capabilities astound her makers—and they don’t even know the tenth of it.

But what’s the purpose of this stunning creation? Is it a front for something even darker and more powerful than the NSA? A bid to create a trillion-dollar market by becoming “The UberX of Sex”? Or a reckless experiment that could spawn the digital equivalent of a middle-school mean girl with enough charisma, dirt, and cunning to bend the entire planet to her will?

Phluttr has it in her to become the greatest gossip, flirt, or matchmaker in history. Or she could cure cancer, bring back Seinfeld, then start a nuclear war. Whatever she does, it’s not up to us. But a motley band of Silicon Valley entrepreneurs, venture capitalists, and engineers might be able to influence her.

After On achieves the literary singularity—fusing speculative satire and astonishing reality into a sharp-witted, ferociously believable, IMAX-wide view of our digital age.

Praise for After On

“Rob Reid’s mind is like no other known thing in the universe, and this book is a truly spectacular way to discover it.”—Chris Anderson, head of TED

“An extended philosophy seminar run by a dozen insane Cold War heads-of-station, three millennial COOs and that guy you went to college with who always had the best weed but never did his laundry.”—NPR

“An epic cyberthriller peppered with pop-culture references, metadata, and Silicon Valley in-jokes.”—Kirkus Reviews

“It’s rare to find a book that combines laugh-out-loud humor and cutting-edge science with profound philosophical speculation. This is that book.”—Analog

“[Rob Reid] writes in a humorous and sarcastic style while unveiling a terrifying and frightening scenario that seems all too real.”—Associated Press

Length: 554 pages	Word Wise: Enabled	Enhanced Typesetting: Enabled
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Editorial Reviews

Review

“An extended philosophy seminar run by a dozen insane Cold War heads-of-station, three millennial COOs and that guy you went to college with who always had the best weed but never did his laundry.”—NPR

“An epic cyberthriller peppered with pop-culture references, metadata, and Silicon Valley in-jokes.”—Kirkus Reviews

“It’s rare to find a book that combines laugh-out-loud humor and cutting-edge science with profound philosophical speculation. This is that book.”—Analog

“[Rob Reid] writes in a humorous and sarcastic style while unveiling a terrifying and frightening scenario that seems all too real.”—Associated Press

“Enter a near-future Silicon Valley that is hilariously, creepily, mind-bogglingly fantastic, yet at the same time all too believable. It might turn out this way. No, really, it might! Along with After On’s diabolically ingenious plot, there are crazy-plausible web startups, delicious parodies of social media, and a surprisingly convincing theory of human consciousness.”—Chris Anderson, head of TED

“Reading After On is like attending a master class in nearly every major issue haunting not only the tech industry but society itself. Only the professor is also a stand-up comic with a perfect ear for the foibles of Silicon Valley’s most sacred cows. Part AI thriller, part arch social commentary, and part rollicking farce, After On will leave you smarter about just about everything the human species needs to work on if we’re going to outlive our own creations—and our obsessions with them.”—John Battelle, co-founder, NewCo, Federated Media, and Wired

“The future is already here—it’s just for those who read Reid!”—Steve Jurvetson, venture capitalist, Draper Fisher Jurvetson

“Rob Reid doesn’t write science fiction; he writes future history. After On is the best account I’ve read of how superintelligence will arrive and what it will mean for all of us. Hilarious, frightening, believable, and marvelously constructed—After On has it all.”—Hugh Howey, New York Times bestselling author of Wool

“After On is smart, hilarious, and properly cynical about our connected world. The story unfolds in surprising and fiendish ways, and while you’re laughing you’ll learn enough to confound a wily MBA, manipulate a board of directors, and maybe even outfox a superintelligence.”—Ken Fisher, founder and editor in chief, Ars Technica

“Topics like AI, neuroscience, quantum computing, and gene splicing are usually both a blessing and a curse: incredibly fascinating material explained super-boringly. After On manages to be an exception to the rule, weaving all of those topics into a funny, delightful story that’s full of surprises.”—Tim Urban, creator, Wait But Why

“Rips the lid off Silicon Valley! And what lies beneath.”—Stewart Brand, creator, Whole Earth Catalog

About the Author

Rob Reid founded Listen.com, which built the pioneering online music service Rhapsody, and created the unlimited subscription model since adopted by Apple, Spotify, and many others. He is the author of the New York Times bestseller Year Zero, a work of fiction; Year One, a memoir about student life at Harvard Business School; and Architects of the Web, the first true business history of the Internet. He lives in New York City with his wife, Morgan, and Ashby the Dog.

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Product details

File Size: 11577 KB
Print Length: 554 pages
Page Numbers Source ISBN: 152479807X
Publisher: Del Rey (August 1, 2017)
Publication Date: August 1, 2017
Sold by: Random House LLC
Language: English
ASIN: B06XZSNB3W
Text-to-Speech: Enabled

X-Ray:

Enabled

Word Wise: Enabled
Lending: Not Enabled
Screen Reader: Supported

Enhanced Typesetting: Enabled

Amazon Best Sellers Rank: #137,661 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #54 in Humorous Science Fiction (Kindle Store)
- #182 in Computers & Internet Humor
- #249 in Humorous Science Fiction (Books)

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J. Gable

After On, Soon?

August 1, 2017

Format: HardcoverVerified Purchase

After writing a book about attending business school, then one about the founders of the Internet, and then a sci-fi comedy; Rob Reid stays true to form by avoiding any form with his new book, After On. Reading a pre-release copy, I had no spoiler effect from book blurbs or reviews so I kept wondering - is it a thriller, a near future sci-fi, or maybe a horror novel? It turns out to be a bit of each, combined to create a great story while raising fundamental, and sometimes frightening, concerns about humanity's technological path. He mixes todayâs cutting edge tech with current social, legal and engineering directions and it can be unnerving.

For people in the tech world, characters they know will frequently emerge. Or characters they think they know. Zuba is my favorite, resembling some of the brightest people Iâve ever met. Iâm trying to not identify too closely to some of the scum characters, but they are not really farfetched. And Pugwash lives! (Donât try to parse.)

Finishing the story leaves you second-guessing all kinds of current research and services. Is this site's Terms of Service really acceptable at all? What choice have we? How far lost is our legal system? How irrelevant or just misguided is our government? Should we clamp down on tech now? How could we? How much of a crap shoot is our future really? Not food for thought, more like a banquet.

The idea of a super AI has some very smart people alarmed. Stephen Hawking warned, âThe development of full artificial intelligence could spell the end of the human race.â Elon Musk mused that âwe are summoning the demon.â Read After On for an alternative scenario.

Disclosure: Robâs a friend, I read an early copy, and I'm enjoying the final version.

46 people found this helpful

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R. Hirson

This is a fantastic book

August 1, 2017

Format: HardcoverVerified Purchase

I must start by apologizing to my wife. I kept waking her up by truly laughing out loud while reading After On. Reid has a brilliant way of creating funny situations while introducing the reader to a lot of what's next on the minds of futurists in technology and biology (and where those two meet). He wraps a story around Artificial Intelligence, Synthetic Biology and Quantum Computing that is fun, exciting and funny, and might just scare you as you think about our not too distant future.

21 people found this helpful

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Awful, contrived, lame, and sophomoric

June 15, 2018

Format: HardcoverVerified Purchase

YUCK. I honestly have nothing good to say about this book, except that perhaps the rest of it that I didn't read (I had to quit in the middle of it) might have been amazing. I doubt it though.

This novel simply tries too hard and fails miserably. It reminds me of the show Silicon Valley (if you love that show for non-humor related reasons, you might like this novel). If you're in the tech industry, you can tell it's trying too hard and in attempting to recreate the culture and atmosphere, it results in a horrendously contrived mishmash of lame references and jokes. Example: "acquihire." If you're the industry or know anything about it, you'll roll your eyes at this in the novel, as the author presents it as something unique. It's maddening.

The writing is somewhat sophomoric, as are the jokes. Worst of all, it's terribly boring.

0.5/10 (I believe this is the lowest score I've ever given)

6 people found this helpful

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Scott Faber

It's On!

August 1, 2017

Format: Kindle EditionVerified Purchase

These days we hear luminaries from Stephen Hawking to Elon Musk debate whether AI will become humanity's greatest achievement or final catastrophe. But no one has ever predicted the scenario that unfolds in After On. But once you read it, it dawns on you that it might just unfold this way -- in a future full of brilliance, absurdity, pettiness, sex, and hilarity. You won't ever check Facebook with innocence again. And Facebook just found its next playbook.

19 people found this helpful

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C. White

Take the initial challenge... FINISH THE BOOK!! ;)

October 19, 2017

Format: HardcoverVerified Purchase

I ain't no Charles Henry Higginsworth III..., but I LOVED this book! If you caught that reference you have surely already read this book... If not, read the damn book so you DO get the reference (kind of a Catch 22 proposition)!

So now in an effort to make this review more traditional/helpful, let me say this... I LOVE this book (oh wait, I already said that). Like Rob Reid's last book, "Year Zero" I was so intrigued by the story and the audio incarnation of the book that I actually bought and read the printed version (no eBook baby... The real thing).

The book starts off very self-aware. It even challenges you to finish the 570 pages that it takes to complete the story. It is a bit slow to start and pointless in some places, but stick with it and finish it. There is a method to the madness (and pointlessness)

I was delighted to see that "After On" takes place in the same universe as "Year Zero" yet is in no way a sequel or even a prequel. It was fun to see several characters from "Year Zero" pop up in the story as well, but if you have never read the previous book, it would not hinder your enjoyment of this thought-provoking book.

As much as I love the book, I am curious to see how it will stand over time. Being a work of speculative fiction in the immediate present, it could date itself very quickly, but I do not think so. There are a few very ham-fisted literary tricks that amount to not much more than gimmicks sprinkled throughout the story, but they are not so intrusive as to ruin the book in the slightest. It's a little bit slow to Build, but rest assured, very little time is wasted. Every bit of it is important to the story. Apparently throwaway observations/comments do come back at the end to play in important part in the resolution of the storyline.

5 people found this helpful

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#####EOF##### Amazon.com : TOMS OF MAINE TTHPASTE WHTE SPEARMINT : Toms Sensitive Toothpaste : Beauty

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TOMS OF MAINE TTHPASTE WHTE SPEARMINT

by Tom's of Maine

162 customer reviews

| 12 answered questions

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Tom's Of Maine Natural Fluoride Free Botanically Bright Toothpaste, Spearmint, 4.7 Ounce, Pack of 6
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Helps whiten teeth

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Product description

Flavor:Spearmint | Size:4.7 Ounce

Toms Of Maine Toothpaste White Spearmint. Helps whiten teeth. This product is manufactured in United States. Freezing and Chilling Temperature of the product is Ambient: Room Temperature.

Product details

Flavor: Spearmint | Size: 4.7 Ounce

Product Dimensions: 1.4 x 2.2 x 7.2 inches ; 0.96 ounces
Shipping Weight: 5.6 ounces
ASIN: B008QMWKES
UPC: 077326832141
Item model number: 683214
Average Customer Review: 162 customer reviews
Amazon Best Sellers Rank: #246,469 in Beauty & Personal Care (See Top 100 in Beauty & Personal Care)
- #2191 in Toothpaste

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Important information

Ingredients

Sorbitol, hydrated silica, water, glycerin, xylitol, organic aloe barbadensis leaf juice, lauryl glu

Directions

Helps remove plaque build-up with regular brushing.Brush thoroughly, preferably after each meal but at least twice a day, or as directed by a dentist or physician.

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Patsy

What can I use???

July 21, 2018

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

This makes my mouth burn inside. I cannot use it. I have used clean and gentle for years, but looks discontinued.
Can anyone recommend something that is good but will not burn?
(I also need SLS free...)

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Ang

Impressed

October 31, 2018

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

I got the Cologate total whitening at a drugstore. This and another Colgate toothpaste were only $1.00 on special. I used it and immediately got a canker sore...never happened to me before. Even when switching toothpastes. Found out it was the SLS in it. Found this and sore healed Immediately! Fresher breath and feels really clean after too!

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Effective, but very thick toothpaste

March 27, 2019

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

I liked the fresh taste it left in my mouth after brushing. What I didnât like was how thick it was. It left globs of toothpaste in my sink after I brushed with my electric toothbrush, so I had to clean the sink with a cleaner after every time I brushed my teeth.

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Lindsey

Very fresh breath!

August 28, 2018

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

Love this paste! We've been avoiding fluoride and this is the best "natural" toothpaste we've used so far!

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Caleb Hall

I have always hated brushing my teeth because how food tastes afterward

January 4, 2016

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

I have always hated brushing my teeth because how food tastes afterward. So put simply, I never brushed my teeth with the anticipation of wanting to eat or drink. Now, with SLS-free toothpaste, I can brush without worrying about how food will taste later. Thanks to this toothpaste, I brush twice a day, and Ive never looked back. I have bought this product twice already, and have no regrets. Worth every penny.

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Joanna

Great paste

July 3, 2018

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

Great toothpaste! Bought it for all my family members, better to be safe putting less chemicals into your body.

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Anthony & Elissa

Awesome product....cheaper elsewere

September 1, 2015

Flavor: SpearmintSize: 4.7 OunceVerified Purchase

This is a great toothpaste, dissapointed amazon raised their prices a dollar for it since i bought it last. Can find it online cheaper (luckyvitamin) by about 3-4 bucks....the toothpaste itself is awesome, gives a nice clean feeling. Not strong like some others. 4 stars only because amazons price on the product.

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k-flo

Clean teeth

November 4, 2018

Flavor: PeppermintSize: 4.7 OunceVerified Purchase

Gets the job done. I don't love the taste, but it's not awful.

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#####EOF#####

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